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ORCIDMihaela van der Schaar
Mihaela van der Schaar-Mitrea
Person information
- affiliation: University of Cambridge, Department of Applied Mathematics and Theoretical Physics, UK
- affiliation: University of California, Los Angeles, Electrical Engineering Department, CA, USA
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2020 – today
- 2024
[j264]Elisabeth R. M. Heremans
, Nabeel Seedat, Bertien Buyse, Dries Testelmans, Mihaela van der Schaar, Maarten De Vos:
U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging. Comput. Biol. Medicine 171: 108205 (2024)- [j263]Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar:
Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality. Found. Trends Signal Process. 18(3): 200-309 (2024) - [j262]Lea Goetz, Nabeel Seedat, Robert Vandersluis, Mihaela van der Schaar:
Generalization - a key challenge for responsible AI in patient-facing clinical applications. npj Digit. Medicine 7(1) (2024) - [j261]Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar:
Navigating Data-Centric Artificial Intelligence With DC-Check: Advances, Challenges, and Opportunities. IEEE Trans. Artif. Intell. 5(6): 2589-2603 (2024) - [j260]Alexis Bellot, Mihaela van der Schaar:
Linear Deconfounded Score Method: Scoring DAGs With Dense Unobserved Confounding. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4948-4962 (2024) - [c396]Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar:
Adaptive Experiment Design with Synthetic Controls. AISTATS 2024: 1180-1188 - [c395]Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar:
DAGnosis: Localized Identification of Data Inconsistencies using Structures. AISTATS 2024: 1864-1872 - [c394]Krzysztof Kacprzyk, Mihaela van der Schaar:
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations. AISTATS 2024: 3601-3609 - [c393]Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar:
Unveiling the Power of Sparse Neural Networks for Feature Selection. ECAI 2024: 2669-2676 - [c392]Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar:
A Neural Framework for Generalized Causal Sensitivity Analysis. ICLR 2024 - [c391]Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar:
L2MAC: Large Language Model Automatic Computer for Extensive Code Generation. ICLR 2024 - [c390]Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar:
Defining Expertise: Applications to Treatment Effect Estimation. ICLR 2024 - [c389]Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar:
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. ICLR 2024 - [c388]Krzysztof Kacprzyk, Tennison Liu, Mihaela van der Schaar:
Towards Transparent Time Series Forecasting. ICLR 2024 - [c387]Yangming Li, Boris van Breugel, Mihaela van der Schaar:
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models. ICLR 2024 - [c386]Yangming Li, Mihaela van der Schaar:
On Error Propagation of Diffusion Models. ICLR 2024 - [c385]Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar:
Large Language Models to Enhance Bayesian Optimization. ICLR 2024 - [c384]Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar:
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI. ICLR 2024 - [c383]Hao Sun, Alihan Hüyük, Mihaela van der Schaar:
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL. ICLR 2024 - [c382]Boris van Breugel, Mihaela van der Schaar:
Position: Why Tabular Foundation Models Should Be a Research Priority. ICML 2024 - [c381]Alex James Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar:
Dense Reward for Free in Reinforcement Learning from Human Feedback. ICML 2024 - [c380]Jonathan Crabbé, Nicolas Huynh, Jan Stanczuk, Mihaela van der Schaar:
Time Series Diffusion in the Frequency Domain. ICML 2024 - [c379]Chohee Kim, Mihaela van der Schaar, Changhee Lee:
Discovering Features with Synergistic Interactions in Multiple Views. ICML 2024 - [c378]Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar:
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. ICML 2024 - [c377]Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel:
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. ICML 2024 - [c376]Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar:
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes. ICML 2024 - [i282]Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar:
Deep Generative Symbolic Regression. CoRR abs/2401.00282 (2024) - [i281]Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar:
Adaptive Experiment Design with Synthetic Controls. CoRR abs/2401.17205 (2024) - [i280]Alex J. Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar:
Dense Reward for Free in Reinforcement Learning from Human Feedback. CoRR abs/2402.00782 (2024) - [i279]Alicia Curth, Alan Jeffares, Mihaela van der Schaar:
Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers. CoRR abs/2402.01502 (2024) - [i278]Yangming Li, Max Ruiz Luyten, Mihaela van der Schaar:
Risk-Sensitive Diffusion: Learning the Underlying Distribution from Noisy Samples. CoRR abs/2402.02081 (2024) - [i277]Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar:
Large Language Models to Enhance Bayesian Optimization. CoRR abs/2402.03921 (2024) - [i276]Jonathan Crabbé, Nicolas Huynh, Jan Stanczuk, Mihaela van der Schaar:
Time Series Diffusion in the Frequency Domain. CoRR abs/2402.05933 (2024) - [i275]Thomas Pouplin, Hao Sun, Samuel Holt, Mihaela van der Schaar:
Retrieval-Augmented Thought Process as Sequential Decision Making. CoRR abs/2402.07812 (2024) - [i274]Katarzyna Kobalczyk, Mihaela van der Schaar:
Informed Meta-Learning. CoRR abs/2402.16105 (2024) - [i273]Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar:
DAGnosis: Localized Identification of Data Inconsistencies using Structures. CoRR abs/2402.17599 (2024) - [i272]Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar:
Defining Expertise: Applications to Treatment Effect Estimation. CoRR abs/2403.00694 (2024) - [i271]Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar:
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI. CoRR abs/2403.04551 (2024) - [i270]Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar:
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. CoRR abs/2403.10766 (2024) - [i269]Krzysztof Kacprzyk, Mihaela van der Schaar:
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations. CoRR abs/2404.09788 (2024) - [i268]Boris van Breugel, Mihaela van der Schaar:
Why Tabular Foundation Models Should Be a Research Priority. CoRR abs/2405.01147 (2024) - [i267]Yangming Li, Mihaela van der Schaar:
A Study of Posterior Stability for Time-Series Latent Diffusion. CoRR abs/2405.14021 (2024) - [i266]Hao Sun, Mihaela van der Schaar:
Inverse-RLignment: Inverse Reinforcement Learning from Demonstrations for LLM Alignment. CoRR abs/2405.15624 (2024) - [i265]Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel:
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. CoRR abs/2406.02464 (2024) - [i264]Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar:
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. CoRR abs/2406.03258 (2024) - [i263]Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert Tjarko Lange:
Discovering Preference Optimization Algorithms with and for Large Language Models. CoRR abs/2406.08414 (2024) - [i262]Nabeel Seedat, Nicolas Huynh, Fergus Imrie, Mihaela van der Schaar:
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling. CoRR abs/2406.13733 (2024) - [i261]Boris van Breugel, Jonathan Crabbé, Rob Davis, Mihaela van der Schaar:
LaTable: Towards Large Tabular Models. CoRR abs/2406.17673 (2024) - [i260]Fergus Imrie, Stefan Denner, Lucas S. Brunschwig, Klaus H. Maier-Hein, Mihaela van der Schaar:
Automated Ensemble Multimodal Machine Learning for Healthcare. CoRR abs/2407.18227 (2024) - [i259]Alexander Bastounis, Paolo Campodonico, Mihaela van der Schaar, Ben Adcock, Anders C. Hansen:
On the consistent reasoning paradox of intelligence and optimal trust in AI: The power of 'I don't know'. CoRR abs/2408.02357 (2024) - [i258]Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar:
Unveiling the Power of Sparse Neural Networks for Feature Selection. CoRR abs/2408.04583 (2024) - [i257]Evgeny Saveliev, Tim Schubert, Thomas Pouplin, Vasilis Kosmoliaptsis, Mihaela van der Schaar:
CliMB: An AI-enabled Partner for Clinical Predictive Modeling. CoRR abs/2410.03736 (2024) - 2023
- [j259]Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar:
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. ACM Trans. Comput. Heal. 4(2): 15:1-15:29 (2023) - [j258]Fergus Imrie, Robert Davis, Mihaela van der Schaar:
Multiple stakeholders drive diverse interpretability requirements for machine learning in healthcare. Nat. Mac. Intell. 5(8): 824-829 (2023) - [j257]Mahed Abroshan, Kai Hou Yip, Cem Tekin, Mihaela van der Schaar:
Conservative Policy Construction Using Variational Autoencoders for Logged Data With Missing Values. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6368-6378 (2023) - [j256]Onur Atan, Saeed Ghoorchian, Setareh Maghsudi, Mihaela van der Schaar:
Data-Driven Online Recommender Systems With Costly Information Acquisition. IEEE Trans. Serv. Comput. 16(1): 235-245 (2023) - [c375]Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar:
Neural Laplace Control for Continuous-time Delayed Systems. AISTATS 2023: 1747-1778 - [c374]Yuchao Qin, Mihaela van der Schaar, Changhee Lee:
T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression. AISTATS 2023: 3466-3492 - [c373]Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar:
Membership Inference Attacks against Synthetic Data through Overfitting Detection. AISTATS 2023: 3493-3514 - [c372]Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar:
To Impute or not to Impute? Missing Data in Treatment Effect Estimation. AISTATS 2023: 3568-3590 - [c371]Alicia Curth, Mihaela van der Schaar:
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data. AISTATS 2023: 7961-7980 - [c370]Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar:
Improving Adaptive Conformal Prediction Using Self-Supervised Learning. AISTATS 2023: 10160-10177 - [c369]Alexander Norcliffe, Bogdan Cebere, Fergus Imrie, Pietro Liò, Mihaela van der Schaar:
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis. AISTATS 2023: 10279-10304 - [c368]Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar:
Deep Generative Symbolic Regression. ICLR 2023 - [c367]Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar:
When to Make and Break Commitments? ICLR 2023 - [c366]Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar:
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. ICLR 2023 - [c365]Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar:
GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure. ICLR 2023 - [c364]Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar:
Differentiable and Transportable Structure Learning. ICML 2023: 2206-2233 - [c363]Alicia Curth, Alihan Hüyük, Mihaela van der Schaar:
Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions. ICML 2023: 6603-6622 - [c362]Alicia Curth, Mihaela van der Schaar:
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation. ICML 2023: 6623-6642 - [c361]Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar:
Learning Representations without Compositional Assumptions. ICML 2023: 21388-21403 - [c360]Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar:
Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data. ICML 2023: 34793-34808 - [c359]Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela van der Schaar:
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time. ICML 2023: 34855-34874 - [c358]Jeroen Berrevoets, Daniel Jarrett, Alex J. Chan, Mihaela van der Schaar:
AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems. NeurIPS 2023 - [c357]Boris van Breugel, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar:
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data. NeurIPS 2023 - [c356]Jonathan Crabbé, Mihaela van der Schaar:
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance. NeurIPS 2023 - [c355]Alicia Curth, Alan Jeffares, Mihaela van der Schaar:
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning. NeurIPS 2023 - [c354]Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic:
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. NeurIPS 2023 - [c353]Samuel Holt, Alihan Hüyük, Mihaela van der Schaar:
Active Observing in Continuous-time Control. NeurIPS 2023 - [c352]Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar:
Joint Training of Deep Ensembles Fails Due to Learner Collusion. NeurIPS 2023 - [c351]Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar:
D-CIPHER: Discovery of Closed-form Partial Differential Equations. NeurIPS 2023 - [c350]Zhaozhi Qian, Robert Davis, Mihaela van der Schaar:
Synthcity: a benchmark framework for diverse use cases of tabular synthetic data. NeurIPS 2023 - [c349]Yuchao Qin, Mihaela van der Schaar, Changhee Lee:
Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure. NeurIPS 2023 - [c348]Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar:
TRIAGE: Characterizing and auditing training data for improved regression. NeurIPS 2023 - [c347]Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar:
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization. NeurIPS 2023 - [c346]Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar:
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. NeurIPS 2023 - [e3]Mihaela van der Schaar, Cheng Zhang, Dominik Janzing:
Conference on Causal Learning and Reasoning, CLeaR 2023, 11-14 April 2023, Amazon Development Center, Tübingen, Germany, April 11-14, 2023. Proceedings of Machine Learning Research 213, PMLR 2023 [contents] - [i256]Zhaozhi Qian, Bogdan-Constantin Cebere, Mihaela van der Schaar:
Synthcity: facilitating innovative use cases of synthetic data in different data modalities. CoRR abs/2301.07573 (2023) - [i255]Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar:
Joint Training of Deep Ensembles Fails Due to Learner Collusion. CoRR abs/2301.11323 (2023) - [i254]Evgeny S. Saveliev, Mihaela van der Schaar:
TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine. CoRR abs/2301.12260 (2023) - [i253]Alicia Curth, Mihaela van der Schaar:
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation. CoRR abs/2302.02923 (2023) - [i252]Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar:
Improving Adaptive Conformal Prediction Using Self-Supervised Learning. CoRR abs/2302.12238 (2023) - [i251]Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar:
Membership Inference Attacks against Synthetic Data through Overfitting Detection. CoRR abs/2302.12580 (2023) - [i250]Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar:
Neural Laplace Control for Continuous-time Delayed Systems. CoRR abs/2302.12604 (2023) - [i249]Yuchao Qin, Mihaela van der Schaar, Changhee Lee:
T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression. CoRR abs/2302.12619 (2023) - [i248]Alicia Curth, Mihaela van der Schaar:
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data. CoRR abs/2302.12718 (2023) - [i247]Alexander Norcliffe, Bogdan Cebere, Fergus Imrie, Pietro Liò, Mihaela van der Schaar:
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis. CoRR abs/2302.12749 (2023) - [i246]Mahed Abroshan, Oscar Giles, Sam F. Greenbury, Jack Roberts, Mihaela van der Schaar, Jannetta S. Steyn, Alan Wilson, May Yong:
Learning machines for health and beyond. CoRR abs/2303.01513 (2023) - [i245]Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar:
Causal Deep Learning. CoRR abs/2303.02186 (2023) - [i244]Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar:
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. CoRR abs/2303.05506 (2023) - [i243]Eleonora Giunchiglia, Fergus Imrie, Mihaela van der Schaar, Thomas Lukasiewicz:
Machine Learning with Requirements: a Manifesto. CoRR abs/2304.03674 (2023) - [i242]Boris van Breugel, Mihaela van der Schaar:
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data. CoRR abs/2304.03722 (2023) - [i241]Jonathan Crabbé, Mihaela van der Schaar:
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance. CoRR abs/2304.06715 (2023) - [i240]Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar:
Synthetic data, real errors: how (not) to publish and use synthetic data. CoRR abs/2305.09235 (2023) - [i239]Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar:
Learning Representations without Compositional Assumptions. CoRR abs/2305.19726 (2023) - [i238]Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela van der Schaar:
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time. CoRR abs/2306.04255 (2023) - [i237]Elisabeth R. M. Heremans, Nabeel Seedat, Bertien Buyse, Dries Testelmans, Mihaela van der Schaar, Maarten De Vos:
U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging. CoRR abs/2306.04663 (2023) - [i236]Aleksa Bisercic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Pietro Liò, Andrija Petrovic:
Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models. CoRR abs/2306.05052 (2023) - [i235]Yangming Li, Zhaozhi Qian, Mihaela van der Schaar:
Do Diffusion Models Suffer Error Propagation? Theoretical Analysis and Consistency Regularization. CoRR abs/2308.05021 (2023) - [i234]Hao Sun, Alihan Hüyük, Mihaela van der Schaar:
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL. CoRR abs/2309.06553 (2023) - [i233]Yangming Li, Boris van Breugel, Mihaela van der Schaar:
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models. CoRR abs/2309.14068 (2023) - [i232]Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar:
L2MAC: Large Language Model Automatic Computer for Unbounded Code Generation. CoRR abs/2310.02003 (2023) - [i231]Fergus Imrie, Paulius Rauba, Mihaela van der Schaar:
Redefining Digital Health Interfaces with Large Language Models. CoRR abs/2310.03560 (2023) - [i230]Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar:
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. CoRR abs/2310.07747 (2023) - [i229]Boris van Breugel, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar:
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data. CoRR abs/2310.16524 (2023) - [i228]Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic:
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. CoRR abs/2310.16981 (2023) - [i227]Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar:
Inverse Decision Modeling: Learning Interpretable Representations of Behavior. CoRR abs/2310.18591 (2023) - [i226]Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar:
Online Decision Mediation. CoRR abs/2310.18601 (2023) - [i225]Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar:
Clairvoyance: A Pipeline Toolkit for Medical Time Series. CoRR abs/2310.18688 (2023) - [i224]Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar:
TRIAGE: Characterizing and auditing training data for improved regression. CoRR abs/2310.18970 (2023) - [i223]Alicia Curth, Alan Jeffares, Mihaela van der Schaar:
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning. CoRR abs/2310.18988 (2023) - [i222]Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar:
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. CoRR abs/2310.19831 (2023) - [i221]Daniel Jarrett, Ioana Bica, Mihaela van der Schaar:
Time-series Generation by Contrastive Imitation. CoRR abs/2311.01388 (2023) - [i220]Ioana Bica, Daniel Jarrett, Mihaela van der Schaar:
Invariant Causal Imitation Learning for Generalizable Policies. CoRR abs/2311.01489 (2023) - [i219]Alex J. Chan, Alihan Hüyük, Mihaela van der Schaar:
Optimising Human-AI Collaboration by Learning Convincing Explanations. CoRR abs/2311.07426 (2023) - [i218]Max Zhu, Katarzyna Kobalczyk, Andrija Petrovic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Petro Liò:
Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces. CoRR abs/2311.10051 (2023) - [i217]Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson:
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR abs/2311.13028 (2023) - [i216]Hao Sun, Alex J. Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar:
When is Off-Policy Evaluation Useful? A Data-Centric Perspective. CoRR abs/2311.14110 (2023) - [i215]Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar:
A Neural Framework for Generalized Causal Sensitivity Analysis. CoRR abs/2311.16026 (2023) - [i214]Tim Schubert, Richard W. Peck, Alexander Gimson, Camelia Davtyan, Mihaela van der Schaar:
A Foundational Framework and Methodology for Personalized Early and Timely Diagnosis. CoRR abs/2311.16195 (2023) - [i213]Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar:
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes. CoRR abs/2312.12112 (2023) - 2022
- [j255]Cong Shen, Zhaozhi Qian, Alihan Hüyük, Mihaela van der Schaar:
MARS: Assisting Human with Information Processing Tasks Using Machine Learning. ACM Trans. Comput. Heal. 3(2): 21:1-21:19 (2022) - [j254]Iacopo Vagliano, Sylvia Brinkman, Ameen Abu-Hanna, M. Sesmu Arbous, Dave A. Dongelmans, Paul W. G. Elbers, Dylan W. De Lange, Mihaela van der Schaar, Nicolette F. de Keizer, Martijn C. Schut:
Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands. Int. J. Medical Informatics 160: 104688 (2022) - [j253]Changhee Lee, Alexander Light, Evgeny S. Saveliev, Mihaela van der Schaar, Vincent J. Gnanapragasam:
Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer. npj Digit. Medicine 5 (2022) - [j252]Cem Tekin, Sepehr Elahi, Mihaela van der Schaar:
Feedback Adaptive Learning for Medical and Educational Application Recommendation. IEEE Trans. Serv. Comput. 15(4): 2144-2157 (2022) - [c345]Alihan Hüyük, William R. Zame, Mihaela van der Schaar:
Inferring Lexicographically-Ordered Rewards from Preferences. AAAI 2022: 5737-5745 - [c344]Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar:
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects. AISTATS 2022: 4158-4177 - [c343]Alexis Bellot, Kim Branson, Mihaela van der Schaar:
Neural graphical modelling in continuous-time: consistency guarantees and algorithms. ICLR 2022 - [c342]Alex J. Chan, Alicia Curth, Mihaela van der Schaar:
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies. ICLR 2022 - [c341]Changhee Lee, Fergus Imrie, Mihaela van der Schaar:
Self-Supervision Enhanced Feature Selection with Correlated Gates. ICLR 2022 - [c340]Alizée Pace, Alex J. Chan, Mihaela van der Schaar:
POETREE: Interpretable Policy Learning with Adaptive Decision Trees. ICLR 2022 - [c339]Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar:
D-CODE: Discovering Closed-form ODEs from Observed Trajectories. ICLR 2022 - [c338]Ahmed M. Alaa, Boris van Breugel, Evgeny S. Saveliev, Mihaela van der Schaar:
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models. ICML 2022: 290-306 - [c337]Jonathan Crabbé, Mihaela van der Schaar:
Label-Free Explainability for Unsupervised Models. ICML 2022: 4391-4420 - [c336]Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar:
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. ICML 2022: 8811-8832 - [c335]Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar:
Inverse Contextual Bandits: Learning How Behavior Evolves over Time. ICML 2022: 9506-9524 - [c334]Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar:
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection. ICML 2022: 9916-9937 - [c333]Nabeel Seedat, Jonathan Crabbé, Mihaela van der Schaar:
Data-SUITE: Data-centric identification of in-distribution incongruous examples. ICML 2022: 19467-19496 - [c332]Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar:
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. ICML 2022: 19497-19521 - [c331]Mihaela van der Schaar:
Machine Learning for Medicine and Healthcare. ICPRAM 2022: 5 - [c330]Ioana Bica, Mihaela van der Schaar:
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation. NeurIPS 2022 - [c329]Alex J. Chan, Mihaela van der Schaar:
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning. NeurIPS 2022 - [c328]Jonathan Crabbé, Alicia Curth, Ioana Bica, Mihaela van der Schaar:
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability. NeurIPS 2022 - [c327]Jonathan Crabbé, Mihaela van der Schaar:
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations. NeurIPS 2022 - [c326]Fergus Imrie, Alexander Norcliffe, Pietro Lió, Mihaela van der Schaar:
Composite Feature Selection Using Deep Ensembles. NeurIPS 2022 - [c325]Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar:
Online Decision Mediation. NeurIPS 2022 - [c324]Nabeel Seedat, Jonathan Crabbé, Ioana Bica, Mihaela van der Schaar:
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data. NeurIPS 2022 - [e2]Isabelle Guyon, Marius Lindauer, Mihaela van der Schaar, Frank Hutter, Roman Garnett:
International Conference on Automated Machine Learning, AutoML 2022, 25-27 July 2022, Johns Hopkins University, Baltimore, MD, USA. Proceedings of Machine Learning Research 188, PMLR 2022 [contents] - [i212]Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar:
To Impute or not to Impute? - Missing Data in Treatment Effect Estimation. CoRR abs/2202.02096 (2022) - [i211]Nabeel Seedat, Jonathan Crabbé, Mihaela van der Schaar:
Data-SUITE: Data-centric identification of in-distribution incongruous examples. CoRR abs/2202.08836 (2022) - [i210]Alihan Hüyük, William R. Zame, Mihaela van der Schaar:
Inferring Lexicographically-Ordered Rewards from Preferences. CoRR abs/2202.10153 (2022) - [i209]Tobias Hatt, Jeroen Berrevoets, Alicia Curth, Stefan Feuerriegel, Mihaela van der Schaar:
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects. CoRR abs/2202.12891 (2022) - [i208]Jonathan Crabbé, Mihaela van der Schaar:
Label-Free Explainability for Unsupervised Models. CoRR abs/2203.01928 (2022) - [i207]Alex J. Chan, Alicia Curth, Mihaela van der Schaar:
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies. CoRR abs/2203.07338 (2022) - [i206]Alizée Pace, Alex J. Chan, Mihaela van der Schaar:
POETREE: Interpretable Policy Learning with Adaptive Decision Trees. CoRR abs/2203.08057 (2022) - [i205]Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar:
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. CoRR abs/2206.04843 (2022) - [i204]Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar:
Differentiable and Transportable Structure Learning. CoRR abs/2206.06354 (2022) - [i203]Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar:
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection. CoRR abs/2206.07769 (2022) - [i202]Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar:
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. CoRR abs/2206.08311 (2022) - [i201]Jonathan Crabbé, Alicia Curth, Ioana Bica, Mihaela van der Schaar:
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability. CoRR abs/2206.08363 (2022) - [i200]Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar:
D-CIPHER: Discovery of Closed-form PDEs. CoRR abs/2206.10586 (2022) - [i199]Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar:
DAUX: a Density-based Approach for Uncertainty eXplanations. CoRR abs/2207.05161 (2022) - [i198]Yanke Li, Tobias Hatt, Ioana Bica, Mihaela van der Schaar:
DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction. CoRR abs/2208.01373 (2022) - [i197]Alicia Curth, Alihan Hüyük, Mihaela van der Schaar:
Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials. CoRR abs/2208.05844 (2022) - [i196]Jonathan Crabbé, Mihaela van der Schaar:
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations. CoRR abs/2209.11222 (2022) - [i195]Alex J. Chan, Mihaela van der Schaar:
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning. CoRR abs/2210.05320 (2022) - [i194]Ioana Bica, Mihaela van der Schaar:
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation. CoRR abs/2210.06183 (2022) - [i193]Fergus Imrie, Bogdan Cebere, Eoin F. McKinney, Mihaela van der Schaar:
AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning. CoRR abs/2210.12090 (2022) - [i192]Nabeel Seedat, Jonathan Crabbé, Ioana Bica, Mihaela van der Schaar:
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data. CoRR abs/2210.13043 (2022) - [i191]Fergus Imrie, Alexander Norcliffe, Pietro Liò, Mihaela van der Schaar:
Composite Feature Selection using Deep Ensembles. CoRR abs/2211.00631 (2022) - [i190]Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar:
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems. CoRR abs/2211.05764 (2022) - [i189]Tennison Liu, Alex J. Chan, Boris van Breugel, Mihaela van der Schaar:
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes. CoRR abs/2211.06138 (2022) - [i188]Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar:
Navigating causal deep learning. CoRR abs/2212.00911 (2022) - 2021
- [j251]Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar:
Triage of 2D Mammographic Images Using Multi-view Multi-task Convolutional Neural Networks. ACM Trans. Comput. Heal. 2(3): 26:1-26:24 (2021) - [j250]Mihaela van der Schaar, Ahmed M. Alaa, R. Andres Floto, Alexander Gimson, Stefan Scholtes, Angela M. Wood, Eoin F. McKinney, Daniel Jarrett, Pietro Lió, Ari Ercole:
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. Mach. Learn. 110(1): 1-14 (2021) - [j249]Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar:
CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19. Mach. Learn. 110(1): 15-35 (2021) - [j248]Ahmed M. Alaa, Deepti Gurdasani, Adrian L. Harris, Jem Rashbass, Mihaela van der Schaar:
Machine learning to guide the use of adjuvant therapies for breast cancer. Nat. Mach. Intell. 3(8): 716-726 (2021) - [j247]Xingchi Liu, Mahsa Derakhshani, Sangarapillai Lambotharan, Mihaela van der Schaar:
Risk-Aware Multi-Armed Bandits With Refined Upper Confidence Bounds. IEEE Signal Process. Lett. 28: 269-273 (2021) - [j246]Setareh Maghsudi, Andrew S. Lan, Jie Xu, Mihaela van der Schaar:
Personalized Education in the Artificial Intelligence Era: What to Expect Next. IEEE Signal Process. Mag. 38(3): 37-50 (2021) - [j245]Trent Kyono, Mihaela van der Schaar:
Exploiting Causal Structure for Robust Model Selection in Unsupervised Domain Adaptation. IEEE Trans. Artif. Intell. 2(6): 494-507 (2021) - [j244]Changhee Lee, Jem Rashbass, Mihaela van der Schaar:
Outcome-Oriented Deep Temporal Phenotyping of Disease Progression. IEEE Trans. Biomed. Eng. 68(8): 2423-2434 (2021) - [j243]Yuanzhang Xiao, Mihaela van der Schaar:
Dynamic Stochastic Demand Response With Energy Storage. IEEE Trans. Smart Grid 12(6): 4813-4821 (2021) - [c323]Changhee Lee, Mihaela van der Schaar:
A Variational Information Bottleneck Approach to Multi-Omics Data Integration. AISTATS 2021: 1513-1521 - [c322]Alicia Curth, Mihaela van der Schaar:
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms. AISTATS 2021: 1810-1818 - [c321]Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar:
Learning Matching Representations for Individualized Organ Transplantation Allocation. AISTATS 2021: 2134-2142 - [c320]Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar:
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. AISTATS 2021: 2980-2988 - [c319]Mihaela van der Schaar:
Building next-generation healthcare systems using distributed machine learning. ICDCN 2021: 4 - [c318]Ahmed M. Alaa, Alex James Chan, Mihaela van der Schaar:
Generative Time-series Modeling with Fourier Flows. ICLR 2021 - [c317]Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar:
Learning "What-if" Explanations for Sequential Decision-Making. ICLR 2021 - [c316]Alex James Chan, Mihaela van der Schaar:
Scalable Bayesian Inverse Reinforcement Learning. ICLR 2021 - [c315]Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar:
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. ICLR 2021 - [c314]Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar:
Clairvoyance: A Pipeline Toolkit for Medical Time Series. ICLR 2021 - [c313]Alexis Bellot, Mihaela van der Schaar:
Policy Analysis using Synthetic Controls in Continuous-Time. ICML 2021: 759-768 - [c312]Jeroen Berrevoets, Ahmed M. Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela van der Schaar:
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. ICML 2021: 792-802 - [c311]Jonathan Crabbé, Mihaela van der Schaar:
Explaining Time Series Predictions with Dynamic Masks. ICML 2021: 2166-2177 - [c310]Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar:
Inverse Decision Modeling: Learning Interpretable Representations of Behavior. ICML 2021: 4755-4771 - [c309]Ioana Bica, Daniel Jarrett, Mihaela van der Schaar:
Invariant Causal Imitation Learning for Generalizable Policies. NeurIPS 2021: 3952-3964 - [c308]Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar:
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. NeurIPS 2021: 22221-22233 - [c307]Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar:
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. NeurIPS Datasets and Benchmarks 2021 - [c306]Alicia Curth, David Svensson, James Weatherall, Mihaela van der Schaar:
Really Doing Great at Estimating CATE? A Critical Look at ML Benchmarking Practices in Treatment Effect Estimation. NeurIPS Datasets and Benchmarks 2021 - [c305]Zhaozhi Qian, Yao Zhang, Ioana Bica, Angela M. Wood, Mihaela van der Schaar:
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes. NeurIPS 2021: 3178-3190 - [c304]Kamile Stankeviciute, Ahmed M. Alaa, Mihaela van der Schaar:
Conformal Time-series Forecasting. NeurIPS 2021: 6216-6228 - [c303]Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar:
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. NeurIPS 2021: 11364-11383 - [c302]Jonathan Crabbé, Zhaozhi Qian, Fergus Imrie, Mihaela van der Schaar:
Explaining Latent Representations with a Corpus of Examples. NeurIPS 2021: 12154-12166 - [c301]Alicia Curth, Mihaela van der Schaar:
On Inductive Biases for Heterogeneous Treatment Effect Estimation. NeurIPS 2021: 15883-15894 - [c300]Yuchao Qin, Fergus Imrie, Alihan Hüyük, Daniel Jarrett, Alexander Gimson, Mihaela van der Schaar:
Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation. NeurIPS 2021: 23205-23217 - [c299]Zhaozhi Qian, Alicia Curth, Mihaela van der Schaar:
Estimating Multi-cause Treatment Effects via Single-cause Perturbation. NeurIPS 2021: 23754-23767 - [c298]Trent Kyono, Yao Zhang, Alexis Bellot, Mihaela van der Schaar:
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms. NeurIPS 2021: 23806-23817 - [c297]Alicia Curth, Changhee Lee, Mihaela van der Schaar:
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data. NeurIPS 2021: 26740-26753 - [c296]Daniel Jarrett, Ioana Bica, Mihaela van der Schaar:
Time-series Generation by Contrastive Imitation. NeurIPS 2021: 28968-28982 - [c295]Russell Greiner, Neeraj Kumar, Thomas Alexander Gerds, Mihaela van der Schaar:
Preface: AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021. SPACA 2021: 1-2 - [c294]Alexis Bellot, Mihaela van der Schaar:
Application of kernel hypothesis testing on set-valued data. UAI 2021: 194-204 - [c293]Alexis Bellot, Mihaela van der Schaar:
A kernel two-sample test with selection bias. UAI 2021: 205-214 - [e1]Russell Greiner, Neeraj Kumar, Thomas Alexander Gerds, Mihaela van der Schaar:
Proceedings of AAAI Symposium on Survival Prediction - Algorithms, Challenges and Applications, SPACA 2021, Stanford University, Palo Alto, CA, USA, March 22-24, 2021. Proceedings of Machine Learning Research 146, PMLR 2021 [contents] - [i187]Setareh Maghsudi, Andrew S. Lan, Jie Xu, Mihaela van der Schaar:
Personalized Education in the AI Era: What to Expect Next? CoRR abs/2101.10074 (2021) - [i186]Alicia Curth, Mihaela van der Schaar:
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms. CoRR abs/2101.10943 (2021) - [i185]Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar:
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. CoRR abs/2101.10998 (2021) - [i184]Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar:
Learning Matching Representations for Individualized Organ Transplantation Allocation. CoRR abs/2101.11769 (2021) - [i183]Alexis Bellot, Mihaela van der Schaar:
Policy Analysis using Synthetic Controls in Continuous-Time. CoRR abs/2102.01577 (2021) - [i182]Changhee Lee, Mihaela van der Schaar:
A Variational Information Bottleneck Approach to Multi-Omics Data Integration. CoRR abs/2102.03014 (2021) - [i181]Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar:
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. CoRR abs/2102.06271 (2021) - [i180]Alex J. Chan, Mihaela van der Schaar:
Scalable Bayesian Inverse Reinforcement Learning. CoRR abs/2102.06483 (2021) - [i179]Ahmed M. Alaa, Boris van Breugel, Evgeny Saveliev, Mihaela van der Schaar:
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models. CoRR abs/2102.08921 (2021) - [i178]Victor D. Bourgin, Ioana Bica, Mihaela van der Schaar:
Model-Attentive Ensemble Learning for Sequence Modeling. CoRR abs/2102.11500 (2021) - [i177]Alexis Bellot, Mihaela van der Schaar:
Deconfounded Score Method: Scoring DAGs with Dense Unobserved Confounding. CoRR abs/2103.15106 (2021) - [i176]Alexis Bellot, Kim Branson, Mihaela van der Schaar:
Consistency of mechanistic causal discovery in continuous-time using Neural ODEs. CoRR abs/2105.02522 (2021) - [i175]Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar:
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. CoRR abs/2106.02875 (2021) - [i174]Alicia Curth, Mihaela van der Schaar:
On Inductive Biases for Heterogeneous Treatment Effect Estimation. CoRR abs/2106.03765 (2021) - [i173]Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar:
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. CoRR abs/2106.04240 (2021) - [i172]Jonathan Crabbé, Mihaela van der Schaar:
Explaining Time Series Predictions with Dynamic Masks. CoRR abs/2106.05303 (2021) - [i171]Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar:
Inverse Contextual Bandits: Learning How Behavior Evolves over Time. CoRR abs/2107.06317 (2021) - [i170]Alicia Curth, Mihaela van der Schaar:
Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators. CoRR abs/2107.13346 (2021) - [i169]Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar:
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects. CoRR abs/2108.03039 (2021) - [i168]Mahed Abroshan, Kai Hou Yip, Cem Tekin, Mihaela van der Schaar:
Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values. CoRR abs/2109.03747 (2021) - [i167]Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar:
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. CoRR abs/2110.12884 (2021) - [i166]Alicia Curth, Changhee Lee, Mihaela van der Schaar:
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data. CoRR abs/2110.14001 (2021) - [i165]Jonathan Crabbé, Zhaozhi Qian, Fergus Imrie, Mihaela van der Schaar:
Explaining Latent Representations with a Corpus of Examples. CoRR abs/2110.15355 (2021) - [i164]Trent Kyono, Yao Zhang, Alexis Bellot, Mihaela van der Schaar:
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms. CoRR abs/2111.03187 (2021) - [i163]Jeroen Berrevoets, Alicia Curth, Ioana Bica, Eoin F. McKinney, Mihaela van der Schaar:
Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time. CoRR abs/2112.03811 (2021) - 2020
- [j242]Alexis Bellot, Mihaela van der Schaar:
Flexible Modelling of Longitudinal Medical Data: A Bayesian Nonparametric Approach. ACM Trans. Comput. Heal. 1(1): 3:1-3:15 (2020) - [j241]Yangbo Song, Mihaela van der Schaar:
Dynamic network formation with foresighted agents. Int. J. Game Theory 49(2): 345-384 (2020) - [j240]Fergus Imrie, Anthony R. Bradley, Mihaela van der Schaar, Charlotte M. Deane:
Deep Generative Models for 3D Linker Design. J. Chem. Inf. Model. 60(4): 1983-1995 (2020) - [j239]Changhee Lee, Jinsung Yoon, Mihaela van der Schaar:
Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data. IEEE Trans. Biomed. Eng. 67(1): 122-133 (2020) - [j238]Kartik Ahuja, Mihaela van der Schaar:
Dynamic Matching and Allocation of Tasks. ACM Trans. Economics and Comput. 7(4): 19:1-19:27 (2020) - [j237]Daniel Jarrett, Jinsung Yoon, Mihaela van der Schaar:
Dynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks. IEEE J. Biomed. Health Informatics 24(2): 424-436 (2020) - [j236]Jinsung Yoon, Lydia N. Drumright, Mihaela van der Schaar:
Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN). IEEE J. Biomed. Health Informatics 24(8): 2378-2388 (2020) - [j235]Jianwei Huang, Costas Courcoubetis, Mihaela van der Schaar, Biying Shou, Jean C. Walrand:
Guest Editorial: Introduction to the Special Section on Economics of Modern Networks. IEEE Trans. Netw. Sci. Eng. 7(2): 619-620 (2020) - [j234]Setareh Maghsudi, Mihaela van der Schaar:
A Non-Stationary Bandit-Learning Approach to Energy-Efficient Femto-Caching With Rateless-Coded Transmission. IEEE Trans. Wirel. Commun. 19(7): 5040-5056 (2020) - [c292]Yao Zhang, Alexis Bellot, Mihaela van der Schaar:
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects. AISTATS 2020: 1005-1014 - [c291]Yao Zhang, Daniel Jarrett, Mihaela van der Schaar:
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning. AISTATS 2020: 2304-2314 - [c290]Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar:
Contextual Constrained Learning for Dose-Finding Clinical Trials. AISTATS 2020: 2645-2654 - [c289]Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Mihaela van der Schaar, Jem Rashbass:
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. AISTATS 2020: 3295-3305 - [c288]Mihaela van der Schaar:
AutoML and Interpretability: Powering the Machine Learning Revolution in Healthcare. FODS 2020: 1 - [c287]Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar:
Estimating counterfactual treatment outcomes over time through adversarially balanced representations. ICLR 2020 - [c286]Daniel Jarrett, Mihaela van der Schaar:
Target-Embedding Autoencoders for Supervised Representation Learning. ICLR 2020 - [c285]Ahmed M. Alaa, Mihaela van der Schaar:
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. ICML 2020: 165-174 - [c284]Ahmed M. Alaa, Mihaela van der Schaar:
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions. ICML 2020: 175-190 - [c283]Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar:
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. ICML 2020: 884-895 - [c282]Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar:
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. ICML 2020: 1392-1402 - [c281]Daniel Jarrett, Mihaela van der Schaar:
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making. ICML 2020: 4713-4723 - [c280]Changhee Lee, Mihaela van der Schaar:
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression. ICML 2020: 5767-5777 - [c279]Cong Shen, Zhiyang Wang, Sofia S. Villar, Mihaela van der Schaar:
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints. ICML 2020: 8730-8740 - [c278]Jeroen Berrevoets, James Jordon, Ioana Bica, Alexander Gimson, Mihaela van der Schaar:
OrganITE: Optimal transplant donor organ offering using an individual treatment effect. NeurIPS 2020 - [c277]Ioana Bica, James Jordon, Mihaela van der Schaar:
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks. NeurIPS 2020 - [c276]Jonathan Crabbé, Yao Zhang, William R. Zame, Mihaela van der Schaar:
Learning outside the Black-Box: The pursuit of interpretable models. NeurIPS 2020 - [c275]Daniel Jarrett, Ioana Bica, Mihaela van der Schaar:
Strictly Batch Imitation Learning by Energy-based Distribution Matching. NeurIPS 2020 - [c274]James Jordon, Daniel Jarrett, Evgeny Saveliev, Jinsung Yoon, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar:
Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. NeurIPS (Competition and Demos) 2020: 206-215 - [c273]Trent Kyono, Yao Zhang, Mihaela van der Schaar:
CASTLE: Regularization via Auxiliary Causal Graph Discovery. NeurIPS 2020 - [c272]Hyun-Suk Lee, Yao Zhang, William R. Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar:
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification. NeurIPS 2020 - [c271]Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar:
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes. NeurIPS 2020 - [c270]Jinsung Yoon, Yao Zhang, James Jordon, Mihaela van der Schaar:
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain. NeurIPS 2020 - [c269]Yao Zhang, Mihaela van der Schaar:
Gradient Regularized V-Learning for Dynamic Treatment Regimes. NeurIPS 2020 - [d1]Pedro Baqui, Ioana Bica, Valerio Marra, Ari Ercole, Mihaela van der Schaar:
ioanabica/COVID-19-Brazil: Code release. Zenodo, 2020
- [i162]Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar:
Contextual Constrained Learning for Dose-Finding Clinical Trials. CoRR abs/2001.02463 (2020) - [i161]Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Jem Rashbass, Mihaela van der Schaar:
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. CoRR abs/2001.02585 (2020) - [i160]Yao Zhang, Daniel Jarrett, Mihaela van der Schaar:
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning. CoRR abs/2001.03898 (2020) - [i159]Yao Zhang, Alexis Bellot, Mihaela van der Schaar:
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects. CoRR abs/2001.04754 (2020) - [i158]Daniel Jarrett, Mihaela van der Schaar:
Target-Embedding Autoencoders for Supervised Representation Learning. CoRR abs/2001.08345 (2020) - [i157]Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar:
Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations. CoRR abs/2002.04083 (2020) - [i156]Ioana Bica, James Jordon, Mihaela van der Schaar:
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks. CoRR abs/2002.12326 (2020) - [i155]Setareh Maghsudi, Mihaela van der Schaar:
A Non-Stationary Bandit-Learning Approach to Energy-Efficient Femto-Caching with Rateless-Coded Transmission. CoRR abs/2005.04154 (2020) - [i154]Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar:
When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes. CoRR abs/2005.08837 (2020) - [i153]Cong Shen, Zhiyang Wang, Sofia S. Villar, Mihaela van der Schaar:
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints. CoRR abs/2006.05026 (2020) - [i152]Hyun-Suk Lee, Yao Zhang, William R. Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar:
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification. CoRR abs/2006.07917 (2020) - [i151]Changhee Lee, Mihaela van der Schaar:
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression. CoRR abs/2006.08600 (2020) - [i150]Ahmed M. Alaa, Mihaela van der Schaar:
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions. CoRR abs/2006.13707 (2020) - [i149]Yao Zhang, William R. Zame, Mihaela van der Schaar:
AutoNCP: Automated pipelines for accurate confidence intervals. CoRR abs/2006.14099 (2020) - [i148]Daniel Jarrett, Mihaela van der Schaar:
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making. CoRR abs/2006.14141 (2020) - [i147]Daniel Jarrett, Ioana Bica, Mihaela van der Schaar:
Strictly Batch Imitation Learning by Energy-based Distribution Matching. CoRR abs/2006.14154 (2020) - [i146]Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar:
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. CoRR abs/2006.14988 (2020) - [i145]Alexis Bellot, Mihaela van der Schaar:
Generalization and Invariances in the Presence of Unobserved Confounding. CoRR abs/2007.10653 (2020) - [i144]James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar:
Hide-and-Seek Privacy Challenge. CoRR abs/2007.12087 (2020) - [i143]Ahmed M. Alaa, Mihaela van der Schaar:
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. CoRR abs/2007.13481 (2020) - [i142]Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar:
Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making. CoRR abs/2007.13531 (2020) - [i141]Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar:
CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19. CoRR abs/2007.13825 (2020) - [i140]Trent Kyono, Yao Zhang, Mihaela van der Schaar:
CASTLE: Regularization via Auxiliary Causal Graph Discovery. CoRR abs/2009.13180 (2020) - [i139]Jonathan Crabbé, Yao Zhang, William R. Zame, Mihaela van der Schaar:
Learning outside the Black-Box: The pursuit of interpretable models. CoRR abs/2011.08596 (2020) - [i138]James Jordon, Alan Wilson, Mihaela van der Schaar:
Synthetic Data: Opening the data floodgates to enable faster, more directed development of machine learning methods. CoRR abs/2012.04580 (2020)
2010 – 2019
- 2019
- [j233]David Gesbert, Deniz Gündüz, Paul de Kerret, Chandra R. Murthy, Mihaela van der Schaar, Nicholas D. Sidiropoulos:
Guest Editorial Special Issue on Machine Learning in Wireless Communication - Part I. IEEE J. Sel. Areas Commun. 37(10): 2181-2183 (2019) - [j232]Deniz Gündüz, Paul de Kerret, Nicholas D. Sidiropoulos, David Gesbert, Chandra R. Murthy, Mihaela van der Schaar:
Machine Learning in the Air. IEEE J. Sel. Areas Commun. 37(10): 2184-2199 (2019) - [j231]David Gesbert, Deniz Gündüz, Paul de Kerret, Chandra R. Murthy, Mihaela van der Schaar, Nicholas D. Sidiropoulos:
Guest Editorial Special Issue on Machine Learning in Wireless Communication - Part 2. IEEE J. Sel. Areas Commun. 37(11): 2409-2412 (2019) - [j230]Onur Atan, William R. Zame, Qiaojun Feng, Mihaela van der Schaar:
Constructing effective personalized policies using counterfactual inference from biased data sets with many features. Mach. Learn. 108(6): 945-970 (2019) - [j229]Jinsung Yoon, William R. Zame, Mihaela van der Schaar:
Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks. IEEE Trans. Biomed. Eng. 66(5): 1477-1490 (2019) - [j228]Setareh Maghsudi, Mihaela van der Schaar:
Distributed Task Management in Cyber-Physical Systems: How to Cooperate Under Uncertainty? IEEE Trans. Cogn. Commun. Netw. 5(1): 165-180 (2019) - [j227]Alexis Bellot, Mihaela van der Schaar:
A Hierarchical Bayesian Model for Personalized Survival Predictions. IEEE J. Biomed. Health Informatics 23(1): 72-80 (2019) - [j226]Yangbo Song, Mihaela van der Schaar:
Repeated Network Games with Dominant Actions and Individual Rationality. IEEE Trans. Netw. Sci. Eng. 6(4): 812-823 (2019) - [j225]Yuanzhang Xiao, Florian Dörfler, Mihaela van der Schaar:
Incentive Design in Peer Review: Rating and Repeated Endogenous Matching. IEEE Trans. Netw. Sci. Eng. 6(4): 898-908 (2019) - [j224]Yiming Zhou, Cong Shen, Mihaela van der Schaar:
A Non-Stationary Online Learning Approach to Mobility Management. IEEE Trans. Wirel. Commun. 18(2): 1434-1446 (2019) - [c268]Kartik Ahuja, William R. Zame, Mihaela van der Schaar:
Optimal Piecewise Approximations for Model Interpretation. ACSSC 2019: 1992-1998 - [c267]Kartik Ahuja, Mihaela van der Schaar:
Joint Concordance Index. ACSSC 2019: 2206-2213 - [c266]Alexis Bellot, Mihaela van der Schaar:
Boosting Transfer Learning with Survival Data from Heterogeneous Domains. AISTATS 2019: 57-65 - [c265]Changhee Lee, William R. Zame, Ahmed M. Alaa, Mihaela van der Schaar:
Temporal Quilting for Survival Analysis. AISTATS 2019: 596-605 - [c264]Onur Atan, William R. Zame, Mihaela van der Schaar:
Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials. AISTATS 2019: 1891-1900 - [c263]Setareh Maghsudi, Mihaela van der Schaar:
A Bandit Learning Approach to Energy-Efficient Femto-Caching under Uncertainty. GLOBECOM 2019: 1-6 - [c262]James Jordon, Jinsung Yoon, Mihaela van der Schaar:
KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks. ICLR 2019 - [c261]James Jordon, Jinsung Yoon, Mihaela van der Schaar:
PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees. ICLR (Poster) 2019 - [c260]Jinsung Yoon, James Jordon, Mihaela van der Schaar:
INVASE: Instance-wise Variable Selection using Neural Networks. ICLR (Poster) 2019 - [c259]Ahmed M. Alaa, Mihaela van der Schaar:
Validating Causal Inference Models via Influence Functions. ICML 2019: 191-201 - [c258]Jinsung Yoon, James Jordon, Mihaela van der Schaar:
ASAC: Active Sensing using Actor-Critic models. MLHC 2019: 451-473 - [c257]Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar:
Multi-view Multi-task Learning for Improving Autonomous Mammogram Diagnosis. MLHC 2019: 571-591 - [c256]Alexis Bellot, Mihaela van der Schaar:
Conditional Independence Testing using Generative Adversarial Networks. NeurIPS 2019: 2199-2208 - [c255]James Jordon, Jinsung Yoon, Mihaela van der Schaar:
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate. NeurIPS 2019: 4325-4334 - [c254]Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar:
Time-series Generative Adversarial Networks. NeurIPS 2019: 5509-5519 - [c253]Ahmed M. Alaa, Mihaela van der Schaar:
Demystifying Black-box Models with Symbolic Metamodels. NeurIPS 2019: 11301-11311 - [c252]Ahmed M. Alaa, Mihaela van der Schaar:
Attentive State-Space Modeling of Disease Progression. NeurIPS 2019: 11334-11344 - [i137]Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar:
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. CoRR abs/1902.00450 (2019) - [i136]Deniz Gündüz, Paul de Kerret, Nicholas D. Sidiropoulos, David Gesbert, Chandra R. Murthy, Mihaela van der Schaar:
Machine Learning in the Air. CoRR abs/1904.12385 (2019) - [i135]Yao Zhang, James Jordon, Ahmed M. Alaa, Mihaela van der Schaar:
Lifelong Bayesian Optimization. CoRR abs/1905.12280 (2019) - [i134]Jinsung Yoon, James Jordon, Mihaela van der Schaar:
ASAC: Active Sensing using Actor-Critic models. CoRR abs/1906.06796 (2019) - [i133]Alexis Bellot, Mihaela van der Schaar:
Conditional Independence Testing using Generative Adversarial Networks. CoRR abs/1907.04068 (2019) - [i132]Trent Kyono, Mihaela van der Schaar:
Improving Model Robustness Using Causal Knowledge. CoRR abs/1911.12441 (2019) - [i131]Alexis Bellot, Mihaela van der Schaar:
A Bayesian Approach to Modelling Longitudinal Data in Electronic Health Records. CoRR abs/1912.09086 (2019) - 2018
- [j223]Fergus Imrie, Anthony R. Bradley, Mihaela van der Schaar, Charlotte M. Deane:
Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data. J. Chem. Inf. Model. 58(11): 2319-2330 (2018) - [j222]Ahmed M. Alaa, Mihaela van der Schaar:
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference. J. Mach. Learn. Res. 19: 4:1-4:62 (2018) - [j221]Cong Shen, Ruida Zhou, Cem Tekin, Mihaela van der Schaar:
Generalized Global Bandit and Its Application in Cellular Coverage Optimization. IEEE J. Sel. Top. Signal Process. 12(1): 218-232 (2018) - [j220]Hyun-Suk Lee, Cem Tekin, Mihaela van der Schaar, Jang-Won Lee:
Adaptive Contextual Learning for Unit Commitment in Microgrids With Renewable Energy Sources. IEEE J. Sel. Top. Signal Process. 12(4): 688-702 (2018) - [j219]Ahmed M. Alaa, Mihaela van der Schaar:
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms. IEEE J. Sel. Top. Signal Process. 12(5): 1031-1046 (2018) - [j218]Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar:
Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes. IEEE Trans. Biomed. Eng. 65(1): 207-218 (2018) - [j217]Onur Atan, Cem Tekin, Mihaela van der Schaar:
Global Bandits. IEEE Trans. Neural Networks Learn. Syst. 29(12): 5798-5811 (2018) - [j216]Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar:
A Micro-Foundation of Social Capital in Evolving Social Networks. IEEE Trans. Netw. Sci. Eng. 5(1): 14-31 (2018) - [j215]Randall B. Hellman, Cem Tekin, Mihaela van der Schaar, Veronica J. Santos:
Functional Contour-following via Haptic Perception and Reinforcement Learning. IEEE Trans. Haptics 11(1): 61-72 (2018) - [j214]Sabrina Klos, Cem Tekin, Mihaela van der Schaar, Anja Klein:
Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing. IEEE/ACM Trans. Netw. 26(3): 1334-1347 (2018) - [j213]Jinsung Yoon, William R. Zame, Mihaela van der Schaar:
ToPs: Ensemble Learning With Trees of Predictors. IEEE Trans. Signal Process. 66(8): 2141-2152 (2018) - [j212]Nima Akbarzadeh, Cem Tekin, Mihaela van der Schaar:
Online Learning in Limit Order Book Trade Execution. IEEE Trans. Signal Process. 66(17): 4626-4641 (2018) - [c251]Onur Atan, James Jordon, Mihaela van der Schaar:
Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks. AAAI 2018: 2071-2078 - [c250]Changhee Lee, William R. Zame, Jinsung Yoon, Mihaela van der Schaar:
DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks. AAAI 2018: 2314-2321 - [c249]Alexis Bellot, Mihaela van der Schaar:
Tree-based Bayesian Mixture Model for Competing Risks. AISTATS 2018: 910-918 - [c248]Setareh Maghsudi, Mihaela van der Schaar:
Distributed Task Management in Cyber-Physical Systems: How to Cooperate Under Uncertainty? GLOBECOM 2018: 206-212 - [c247]Eleonora Giunchiglia, Anton Nemchenko, Mihaela van der Schaar:
RNN-SURV: A Deep Recurrent Model for Survival Analysis. ICANN (3) 2018: 23-32 - [c246]Anton Nemchenko, Trent Kyono, Mihaela van der Schaar:
Siamese Survival Analysis with Competing Risks. ICANN (3) 2018: 260-269 - [c245]Yiming Zhou, Cong Shen, Xiliang Luo, Mihaela van der Schaar:
A Non-Stationary Online Learning Approach to Mobility Management. ICC 2018: 1-6 - [c244]Jinsung Yoon, James Jordon, Mihaela van der Schaar:
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets. ICLR (Poster) 2018 - [c243]Jinsung Yoon, William R. Zame, Mihaela van der Schaar:
Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks. ICLR (Poster) 2018 - [c242]Ahmed M. Alaa, Mihaela van der Schaar:
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design. ICML 2018: 129-138 - [c241]Ahmed M. Alaa, Mihaela van der Schaar:
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning. ICML 2018: 139-148 - [c240]Jinsung Yoon, James Jordon, Mihaela van der Schaar:
GAIN: Missing Data Imputation using Generative Adversarial Nets. ICML 2018: 5675-5684 - [c239]Jinsung Yoon, James Jordon, Mihaela van der Schaar:
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks. ICML 2018: 5685-5693 - [c238]Alexis Bellot, Mihaela van der Schaar:
Boosted Trees for Risk Prognosis. MLHC 2018: 2-16 - [c237]Bryan Lim, Mihaela van der Schaar:
Disease-Atlas: Navigating Disease Trajectories using Deep Learning. MLHC 2018: 137-160 - [c236]Alexis Bellot, Mihaela van der Schaar:
Multitask Boosting for Survival Analysis with Competing Risks. NeurIPS 2018: 1397-1406 - [p2]Honglei Li, Yanzhou Liu, Kishan Sudusinghe, Jinsung Yoon, Erik Blasch, Mihaela van der Schaar, Shuvra S. Bhattacharyya:
Design of a Dynamic Data-Driven System for Multispectral Video Processing. Handbook of Dynamic Data Driven Applications Systems 2018: 529-545 - [i130]Jinsung Yoon, James Jordon, Mihaela van der Schaar:
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks. CoRR abs/1802.06403 (2018) - [i129]Ahmed M. Alaa, Mihaela van der Schaar:
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning. CoRR abs/1802.07207 (2018) - [i128]Onur Atan, William R. Zame, Mihaela van der Schaar:
Learning Optimal Policies from Observational Data. CoRR abs/1802.08679 (2018) - [i127]Bryan Lim, Mihaela van der Schaar:
Disease-Atlas: Navigating Disease Trajectories with Deep Learning. CoRR abs/1803.10254 (2018) - [i126]Jinsung Yoon, James Jordon, Mihaela van der Schaar:
GAIN: Missing Data Imputation using Generative Adversarial Nets. CoRR abs/1806.02920 (2018) - [i125]Kartik Ahuja, William R. Zame, Mihaela van der Schaar:
Piecewise Approximations of Black Box Models for Model Interpretation. CoRR abs/1806.10270 (2018) - [i124]James Jordon, Jinsung Yoon, Mihaela van der Schaar:
Measuring the quality of Synthetic data for use in competitions. CoRR abs/1806.11345 (2018) - [i123]Bryan Lim, Mihaela van der Schaar:
Forecasting Disease Trajectories in Alzheimer's Disease Using Deep Learning. CoRR abs/1807.03159 (2018) - [i122]Anton Nemchenko, Trent Kyono, Mihaela van der Schaar:
Siamese Survival Analysis with Competing Risks. CoRR abs/1807.05935 (2018) - [i121]Onur Atan, William R. Zame, Mihaela van der Schaar:
Adaptive Clinical Trials: Exploiting Sequential Patient Recruitment and Allocation. CoRR abs/1810.02876 (2018) - [i120]Ahmed M. Alaa, Mihaela van der Schaar:
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning. CoRR abs/1810.10489 (2018) - [i119]Kartik Ahuja, Mihaela van der Schaar:
Risk-Stratify: Confident Stratification Of Patients Based On Risk. CoRR abs/1811.00753 (2018) - [i118]Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar:
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis. CoRR abs/1811.02661 (2018) - [i117]Changhee Lee, Nicholas Mastronarde, Mihaela van der Schaar:
Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning. CoRR abs/1811.08943 (2018) - [i116]Carl Rietschel, Jinsung Yoon, Mihaela van der Schaar:
Feature Selection for Survival Analysis with Competing Risks using Deep Learning. CoRR abs/1811.09317 (2018) - [i115]Daniel Jarrett, Jinsung Yoon, Mihaela van der Schaar:
MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks. CoRR abs/1811.10746 (2018) - [i114]Owen Lahav, Nicholas Mastronarde, Mihaela van der Schaar:
What is Interpretable? Using Machine Learning to Design Interpretable Decision-Support Systems. CoRR abs/1811.10799 (2018) - [i113]Setareh Maghsudi, Mihaela van der Schaar:
Distributed Task Management in Cyber-Physical Systems: How to Cooperate under Uncertainty? CoRR abs/1812.03557 (2018) - 2017
- [j211]Cem Tekin, Mihaela van der Schaar:
Actionable intelligence and online learning for semantic computing. Encycl. Semantic Comput. Robotic Intell. 1(1): 1630011:1-1630011:8 (2017) - [j210]Simpson Zhang, Mihaela van der Schaar:
From Acquaintances to Friends: Homophily and Learning in Networks. IEEE J. Sel. Areas Commun. 35(3): 680-690 (2017) - [j209]Mihaela van der Schaar, Richard G. Baraniuk, Mung Chiang, Jonathan Huang, Shengdong Zhao:
Introduction to the Issue on Signal Processing and Machine Learning. IEEE J. Sel. Top. Signal Process. 11(5): 713-715 (2017) - [j208]Jie Xu, Kyeong H. Moon, Mihaela van der Schaar:
A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs. IEEE J. Sel. Top. Signal Process. 11(5): 742-753 (2017) - [j207]Jinsung Yoon, Camelia Davtyan, Mihaela van der Schaar:
Discovery and Clinical Decision Support for Personalized Healthcare. IEEE J. Biomed. Health Informatics 21(4): 1133-1145 (2017) - [j206]Chuchu Wu, Mario Gerla, Mihaela van der Schaar:
Social Norm Incentives for Network Coding in Manets. IEEE/ACM Trans. Netw. 25(3): 1761-1774 (2017) - [j205]Cem Tekin, Jinsung Yoon, Mihaela van der Schaar:
Adaptive Ensemble Learning With Confidence Bounds. IEEE Trans. Signal Process. 65(4): 888-903 (2017) - [j204]Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed:
Distributed Learning for Stochastic Generalized Nash Equilibrium Problems. IEEE Trans. Signal Process. 65(15): 3893-3908 (2017) - [j203]Sabrina Müller, Onur Atan, Mihaela van der Schaar, Anja Klein:
Context-Aware Proactive Content Caching With Service Differentiation in Wireless Networks. IEEE Trans. Wirel. Commun. 16(2): 1024-1036 (2017) - [c235]Jie Xu, Yuli Han, Daniel Marcu, Mihaela van der Schaar:
Progressive Prediction of Student Performance in College Programs. AAAI 2017: 1604-1610 - [c234]Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar:
Personalized Donor-Recipient Matching for Organ Transplantation. AAAI 2017: 1647-1654 - [c233]Nima Akbarzadeh, Cem Tekin, Mihaela van der Schaar:
Online learning in limit order book trade execution. GlobalSIP 2017: 898-902 - [c232]SaiDhiraj Amuru, R. Michael Buehrer, Mihaela van der Schaar:
Bandit strategies for blindly attacking networks. ICC 2017: 1-6 - [c231]Zhiyang Wang, Cong Shen, Xiliang Luo, Mihaela van der Schaar:
Learn to adapt: Self-optimizing small cell transmit power with correlated bandit learning. ICC 2017: 1-6 - [c230]Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar:
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis. ICML 2017: 60-69 - [c229]Kartik Ahuja, William R. Zame, Mihaela van der Schaar:
DPSCREEN: Dynamic Personalized Screening. NIPS 2017: 1321-1332 - [c228]Cong Shen, Mihaela van der Schaar:
A Learning Approach to Frequent Handover Mitigations in 3GPP Mobility Protocols. WCNC 2017: 1-6 - [i112]Ahmed M. Alaa, Mihaela van der Schaar:
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes. CoRR abs/1704.02801 (2017) - [i111]Jinsung Yoon, William R. Zame, Amitava Banerjee, Martin Cadeiras, Ahmed M. Alaa, Mihaela van der Schaar:
Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors. CoRR abs/1704.03458 (2017) - [i110]Sabrina Müller, Cem Tekin, Mihaela van der Schaar, Anja Klein:
Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing. CoRR abs/1705.03822 (2017) - [i109]Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar:
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis. CoRR abs/1705.05267 (2017) - [i108]Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar:
Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model. CoRR abs/1705.07674 (2017) - [i107]Jinsung Yoon, William R. Zame, Mihaela van der Schaar:
ToPs: Ensemble Learning with Trees of Predictors. CoRR abs/1706.01396 (2017) - [i106]Ahmed M. Alaa, Michael Weisz, Mihaela van der Schaar:
Deep Counterfactual Networks with Propensity-Dropout. CoRR abs/1706.05966 (2017) - [i105]Jinsung Yoon, William R. Zame, Mihaela van der Schaar:
Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks. CoRR abs/1711.08742 (2017) - [i104]Ahmed M. Alaa, Mihaela van der Schaar:
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms. CoRR abs/1712.08914 (2017) - 2016
- [j202]Zhenlong Yuan, Jie Xu, Yibo Xue, Mihaela van der Schaar:
Bits Learning: User-Adjustable Privacy Versus Accuracy in Internet Traffic Classification. IEEE Commun. Lett. 20(4): 704-707 (2016) - [j201]Cong Shen, Cem Tekin, Mihaela van der Schaar:
A Non-Stochastic Learning Approach to Energy Efficient Mobility Management. IEEE J. Sel. Areas Commun. 34(12): 3854-3868 (2016) - [j200]Jie Xu, Linqi Song, James Y. Xu, Gregory J. Pottie, Mihaela van der Schaar:
Personalized Active Learning for Activity Classification Using Wireless Wearable Sensors. IEEE J. Sel. Top. Signal Process. 10(5): 865-876 (2016) - [j199]Erfan Soltanmohammadi, Mort Naraghi-Pour, Mihaela van der Schaar:
Context-based unsupervised ensemble learning and feature ranking. Mach. Learn. 105(3): 459-485 (2016) - [j198]Karim Kanoun, Cem Tekin, David Atienza, Mihaela van der Schaar:
Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits. IEEE Trans. Computers 65(12): 3591-3605 (2016) - [j197]Linqi Song, William Hsu, Jie Xu, Mihaela van der Schaar:
Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening. IEEE J. Biomed. Health Informatics 20(3): 902-914 (2016) - [j196]Nicholas Mastronarde, Viral Patel, Jie Xu, Lingjia Liu, Mihaela van der Schaar:
To Relay or Not to Relay: Learning Device-to-Device Relaying Strategies in Cellular Networks. IEEE Trans. Mob. Comput. 15(6): 1569-1585 (2016) - [j195]Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar:
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening. IEEE Trans. Multim. 18(10): 1942-1955 (2016) - [j194]Suoheng Li, Jie Xu, Mihaela van der Schaar, Weiping Li:
Trend-Aware Video Caching Through Online Learning. IEEE Trans. Multim. 18(12): 2503-2516 (2016) - [j193]Linqi Song, Cem Tekin, Mihaela van der Schaar:
Online Learning in Large-Scale Contextual Recommender Systems. IEEE Trans. Serv. Comput. 9(3): 433-445 (2016) - [j192]Byung-Gook Kim, Yu Zhang, Mihaela van der Schaar, Jang-Won Lee:
Dynamic Pricing and Energy Consumption Scheduling With Reinforcement Learning. IEEE Trans. Smart Grid 7(5): 2187-2198 (2016) - [j191]Luca Canzian, Ugur Demiryurek, Mihaela van der Schaar:
Collision Detection by Networked Sensors. IEEE Trans. Signal Inf. Process. over Networks 2(1): 1-15 (2016) - [j190]Yannick Meier, Jie Xu, Onur Atan, Mihaela van der Schaar:
Predicting Grades. IEEE Trans. Signal Process. 64(4): 959-972 (2016) - [j189]Jie Xu, Tianwei Xing, Mihaela van der Schaar:
Personalized Course Sequence Recommendations. IEEE Trans. Signal Process. 64(20): 5340-5352 (2016) - [j188]SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer:
Jamming Bandits - A Novel Learning Method for Optimal Jamming. IEEE Trans. Wirel. Commun. 15(4): 2792-2808 (2016) - [c227]Cem Tekin, Jinsung Yoon, Mihaela van der Schaar:
Adaptive Ensemble Learning with Confidence Bounds for Personalized Diagnosis. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI 2016 - [c226]Fei Wang, Gregor Stiglic, Mihaela van der Schaar, David A. Sontag, Christopher C. Yang:
Data Mining for Medical Informatics (DMMI) - Learning Health. AMIA 2016 - [c225]Hyun-Suk Lee, Cem Tekin, Mihaela van der Schaar, Jang-Won Lee:
Contextual learning for unit commitment with renewable energy sources. GlobalSIP 2016: 866-870 - [c224]Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed:
Adaptive learning for stochastic generalized Nash equilibrium problems. ICASSP 2016: 4840-4844 - [c223]Sabrina Müller, Onur Atan, Mihaela van der Schaar, Anja Klein:
Smart caching in wireless small cell networks via contextual multi-armed bandits. ICC 2016: 1-7 - [c222]William Hoiles, Mihaela van der Schaar:
Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design. ICML 2016: 1596-1604 - [c221]Jinsung Yoon, Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar:
ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission. ICML 2016: 1680-1689 - [c220]Suoheng Li, Jie Xu, Mihaela van der Schaar, Weiping Li:
Popularity-driven content caching. INFOCOM 2016: 1-9 - [c219]William Hoiles, Mihaela van der Schaar:
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics. NIPS 2016: 2020-2028 - [c218]Ahmed M. Alaa, Mihaela van der Schaar:
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition. NIPS 2016: 2910-2918 - [i103]Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar:
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening. CoRR abs/1602.00374 (2016) - [i102]Kartik Ahuja, Mihaela van der Schaar:
Repeated Matching Mechanism Design with Moral Hazard and Adverse Selection. CoRR abs/1602.02439 (2016) - [i101]Onur Atan, William Whoiles, Mihaela van der Schaar:
Data-Driven Online Decision Making with Costly Information Acquisition. CoRR abs/1602.03600 (2016) - [i100]Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar:
Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts. CoRR abs/1605.00959 (2016) - [i99]Sabrina Müller, Onur Atan, Mihaela van der Schaar, Anja Klein:
Context-Aware Proactive Content Caching with Service Differentiation in Wireless Networks. CoRR abs/1606.04236 (2016) - [i98]Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed:
Distributed Learning for Stochastic Generalized Nash Equilibrium Problems. CoRR abs/1608.00039 (2016) - [i97]Cong Shen, Cem Tekin, Mihaela van der Schaar:
A Non-stochastic Learning Approach to Energy Efficient Mobility Management. CoRR abs/1608.07891 (2016) - [i96]Ahmed M. Alaa, Mihaela van der Schaar:
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition. CoRR abs/1610.07505 (2016) - [i95]Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar:
Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes. CoRR abs/1610.08853 (2016) - [i94]Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar:
Personalized Donor-Recipient Matching for Organ Transplantation. CoRR abs/1611.03934 (2016) - [i93]Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar:
A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data. CoRR abs/1611.05146 (2016) - [i92]Ahmed M. Alaa, Mihaela van der Schaar:
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference. CoRR abs/1612.06007 (2016) - [i91]Onur Atan, William R. Zame, Qiaojun Feng, Mihaela van der Schaar:
Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features. CoRR abs/1612.08082 (2016) - 2015
- [j187]Marilyn Wolf, Mihaela van der Schaar, Honggab Kim, Jie Xu:
Caring Analytics for Adults With Special Needs. IEEE Des. Test 32(5): 35-44 (2015) - [j186]Jie Xu, Mihaela van der Schaar:
Incentive-compatible demand-side management for smart grids based on review strategies. EURASIP J. Adv. Signal Process. 2015: 51 (2015) - [j185]Jie Xu, Mihaela van der Schaar:
Efficient Working and Shirking in Information Sharing Networks. IEEE J. Sel. Areas Commun. 33(4): 651-662 (2015) - [j184]Cong Shen, Jie Xu, Mihaela van der Schaar:
Silence is Gold: Strategic Interference Mitigation Using Tokens in Heterogeneous Small Cell Networks. IEEE J. Sel. Areas Commun. 33(6): 1097-1111 (2015) - [j183]Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar:
Distributed Interference Management Policies for Heterogeneous Small Cell Networks. IEEE J. Sel. Areas Commun. 33(6): 1112-1126 (2015) - [j182]Yuanzhang Xiao, Mihaela van der Schaar:
Optimal Foresighted Multi-User Wireless Video. IEEE J. Sel. Top. Signal Process. 9(1): 89-101 (2015) - [j181]Onur Atan, Yiannis Andreopoulos, Cem Tekin, Mihaela van der Schaar:
Bandit Framework for Systematic Learning in Wireless Video-Based Face Recognition. IEEE J. Sel. Top. Signal Process. 9(1): 180-194 (2015) - [j180]Jie Xu, Mihaela van der Schaar, Jiangchuan Liu, Haitao Li:
Forecasting Popularity of Videos Using Social Media. IEEE J. Sel. Top. Signal Process. 9(2): 330-343 (2015) - [j179]Jie Xu, Dingxiong Deng, Ugur Demiryurek, Cyrus Shahabi, Mihaela van der Schaar:
Mining the Situation: Spatiotemporal Traffic Prediction With Big Data. IEEE J. Sel. Top. Signal Process. 9(4): 702-715 (2015) - [j178]Cem Tekin, Mihaela van der Schaar:
RELEAF: An Algorithm for Learning and Exploiting Relevance. IEEE J. Sel. Top. Signal Process. 9(4): 716-727 (2015) - [j177]Luca Canzian, Mihaela van der Schaar:
Real-time stream mining: online knowledge extraction using classifier networks. IEEE Netw. 29(5): 10-16 (2015) - [j176]Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar:
The Population Dynamics of Websites: [Extended Abstract]. SIGMETRICS Perform. Evaluation Rev. 43(3): 53-56 (2015) - [j175]Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar:
Self-Organizing Networks of Information Gathering Cognitive Agents. IEEE Trans. Cogn. Commun. Netw. 1(1): 100-112 (2015) - [j174]SaiDhiraj Amuru, R. Michael Buehrer, Mihaela van der Schaar:
Blind Network Interdiction Strategies - A Learning Approach. IEEE Trans. Cogn. Commun. Netw. 1(4): 435-449 (2015) - [j173]Luca Canzian, Michele Zorzi, Mihaela van der Schaar:
Game Theoretic Design of MAC Protocols: Pricing Versus Intervention. IEEE Trans. Commun. 63(11): 4287-4303 (2015) - [j172]Yuanzhang Xiao, Mihaela van der Schaar:
Socially-Optimal Design of Service Exchange Platforms with Imperfect Monitoring. ACM Trans. Economics and Comput. 3(4): 25:1-25:25 (2015) - [j171]Cem Tekin, Onur Atan, Mihaela van der Schaar:
Discover the Expert: Context-Adaptive Expert Selection for Medical Diagnosis. IEEE Trans. Emerg. Top. Comput. 3(2): 220-234 (2015) - [j170]Cem Tekin, Mihaela van der Schaar:
Active Learning in Context-Driven Stream Mining With an Application to Image Mining. IEEE Trans. Image Process. 24(11): 3666-3679 (2015) - [j169]Luca Canzian, Kun Zhao, Gerard C. L. Wong, Mihaela van der Schaar:
A Dynamic Network Formation Model for Understanding Bacterial Self-Organization Into Micro-Colonies. IEEE Trans. Mol. Biol. Multi Scale Commun. 1(1): 76-89 (2015) - [j168]Cem Tekin, Mihaela van der Schaar:
Contextual Online Learning for Multimedia Content Aggregation. IEEE Trans. Multim. 17(4): 549-561 (2015) - [j167]Nikolaos Thomos, Eymen Kurdoglu, Pascal Frossard, Mihaela van der Schaar:
Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery From Multiple Servers. IEEE Trans. Multim. 17(6): 893-906 (2015) - [j166]Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed:
Information-Sharing Over Adaptive Networks With Self-Interested Agents. IEEE Trans. Signal Inf. Process. over Networks 1(1): 2-19 (2015) - [j165]Luca Canzian, Yu Zhang, Mihaela van der Schaar:
Ensemble of Distributed Learners for Online Classification of Dynamic Data Streams. IEEE Trans. Signal Inf. Process. over Networks 1(3): 180-194 (2015) - [j164]Luca Canzian, Mihaela van der Schaar:
Timely Event Detection by Networked Learners. IEEE Trans. Signal Process. 63(5): 1282-1296 (2015) - [j163]Jie Xu, Cem Tekin, Simpson Zhang, Mihaela van der Schaar:
Distributed Multi-Agent Online Learning Based on Global Feedback. IEEE Trans. Signal Process. 63(9): 2225-2238 (2015) - [j162]Cem Tekin, Mihaela van der Schaar:
Distributed Online Learning via Cooperative Contextual Bandits. IEEE Trans. Signal Process. 63(14): 3700-3714 (2015) - [j161]Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar:
Efficient Interference Management Policies for Femtocell Networks. IEEE Trans. Wirel. Commun. 14(9): 4879-4893 (2015) - [c217]Jie Xu, Daby M. Sow, Deepak S. Turaga, Mihaela van der Schaar:
Online Transfer Learning for Differential Diagnosis Determination. AAAI Workshop: WWW and Public Health Intelligence 2015 - [c216]Onur Atan, Cem Tekin, Mihaela van der Schaar:
Global Multi-armed Bandits with Hölder Continuity. AISTATS 2015 - [c215]Karim Kanoun, Mihaela van der Schaar:
Big-data streaming applications scheduling with online learning and concept drift detection. DATE 2015: 1547-1550 - [c214]Yuanzhang Xiao, Mihaela van der Schaar:
Optimal intervention for incentivizing the adoption of commercial electric vehicles. GlobalSIP 2015: 508-512 - [c213]SaiDhiraj Amuru, Yuanzhang Xiao, Mihaela van der Schaar, R. Michael Buehrer:
To Send or Not to Send - Learning MAC Contention. GLOBECOM 2015: 1-6 - [c212]Onur Atan, William Hsu, Cem Tekin, Mihaela van der Schaar:
A data-driven approach for matching clinical expertise to individual cases. ICASSP 2015: 2105-2109 - [c211]Sergio Barbarossa, Paolo Di Lorenzo, Mihaela van der Schaar:
Network formation games based on conditional independence graphs. ICASSP 2015: 2944-2948 - [c210]Cem Tekin, Jonas Braun, Mihaela van der Schaar:
eTutor: Online learning for personalized education. ICASSP 2015: 5545-5549 - [c209]SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer:
A systematic learning method for optimal jamming. ICC 2015: 2822-2827 - [c208]Kishan Sudusinghe, Yang Jiao, Haifa Ben Salem, Mihaela van der Schaar, Shuvra S. Bhattacharyya:
Multiobjective Design Optimization in the Lightweight Dataflow for DDDAS Environment (LiD4E)1. ICCS 2015: 2563-2572 - [c207]Yannick Meier, Jie Xu, Onur Atan, Mihaela van der Schaar:
Personalized Grade Prediction: A Data Mining Approach. ICDM 2015: 907-912 - [c206]Erfan Soltanmohammadi, Mort Naraghi-Pour, Mihaela van der Schaar:
Context-based Unsupervised Data Fusion for Decision Making. ICML 2015: 2076-2084 - [c205]Jie Xu, Mihaela van der Schaar, Jiangchuan Liu, Haitao Li:
Timely video popularity forecasting based on social networks. INFOCOM 2015: 2308-2316 - [c204]Zhenlong Yuan, Yibo Xue, Mihaela van der Schaar:
BitMiner: Bits Mining in Internet Traffic Classification. SIGCOMM 2015: 93-94 - [c203]Valerio Di Valerio, Chiara Petrioli, Loreto Pescosolido, Mihaela van der Schaar:
A Reinforcement Learning-based Data-Link Protocol for Underwater Acoustic Communications. WUWNet 2015: 2:1-2:5 - [i90]Cem Tekin, Mihaela van der Schaar:
RELEAF: An Algorithm for Learning and Exploiting Relevance. CoRR abs/1502.01418 (2015) - [i89]Cem Tekin, Mihaela van der Schaar:
Contextual Online Learning for Multimedia Content Aggregation. CoRR abs/1502.02125 (2015) - [i88]Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar:
Self-organizing Networks of Information Gathering Cognitive Agents. CoRR abs/1503.04768 (2015) - [i87]Onur Atan, Cem Tekin, Mihaela van der Schaar:
Global Bandits. CoRR abs/1503.08370 (2015) - [i86]Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar:
Efficient Interference Management Policies for Femtocell Networks. CoRR abs/1504.07009 (2015) - [i85]Simpson Zhang, Mihaela van der Schaar:
Reputational Learning and Network Dynamics. CoRR abs/1507.04065 (2015) - [i84]Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar:
Evolution of Social Networks: A Microfounded Model. CoRR abs/1508.00205 (2015) - [i83]Cem Tekin, Mihaela van der Schaar:
Staged Multi-armed Bandits. CoRR abs/1508.00641 (2015) - [i82]Yannick Meier, Jie Xu, Onur Atan, Mihaela van der Schaar:
Predicting Grades. CoRR abs/1508.03865 (2015) - [i81]Yangbo Song, Mihaela van der Schaar:
Dynamic Network Formation with Foresighted Agents. CoRR abs/1509.00126 (2015) - [i80]Mihaela van der Schaar, Simpson Zhang:
From Acquaintances to Friends: Homophily and Learning in Networks. CoRR abs/1510.08103 (2015) - [i79]Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar:
A Micro-foundation of Social Capital in Evolving Social Networks. CoRR abs/1511.02429 (2015) - [i78]Cem Tekin, Jinsung Yoon, Mihaela van der Schaar:
Adaptive Ensemble Learning with Confidence Bounds. CoRR abs/1512.07446 (2015) - [i77]Jie Xu, Tianwei Xing, Mihaela van der Schaar:
Personalized Course Sequence Recommendations. CoRR abs/1512.09176 (2015) - 2014
- [j160]William R. Zame, Jie Xu, Mihaela van der Schaar:
Cooperative Multi-Agent Learning and Coordination for Cognitive Radio Networks. IEEE J. Sel. Areas Commun. 32(3): 464-477 (2014) - [j159]Jie Xu, Yiannis Andreopoulos, Yuanzhang Xiao, Mihaela van der Schaar:
Non-Stationary Resource Allocation Policies for Delay-Constrained Video Streaming: Application to Video over Internet-of-Things-Enabled Networks. IEEE J. Sel. Areas Commun. 32(4): 782-794 (2014) - [j158]Linqi Song, Yuanzhang Xiao, Mihaela van der Schaar:
Demand Side Management in Smart Grids Using a Repeated Game Framework. IEEE J. Sel. Areas Commun. 32(7): 1412-1424 (2014) - [j157]Cem Tekin, Simpson Zhang, Mihaela van der Schaar:
Distributed Online Learning in Social Recommender Systems. IEEE J. Sel. Top. Signal Process. 8(4): 638-652 (2014) - [j156]Jie Xu, Yangbo Song, Mihaela van der Schaar:
Sharing in Networks of Strategic Agents. IEEE J. Sel. Top. Signal Process. 8(4): 717-731 (2014) - [j155]Yu Zhang, Mihaela van der Schaar:
Structure-Aware Stochastic Storage Management in Smart Grids. IEEE J. Sel. Top. Signal Process. 8(6): 1098-1110 (2014) - [j154]Mahnoosh Alizadeh, Yuanzhang Xiao, Anna Scaglione, Mihaela van der Schaar:
Dynamic Incentive Design for Participation in Direct Load Scheduling Programs. IEEE J. Sel. Top. Signal Process. 8(6): 1111-1126 (2014) - [j153]Jie Xu, Mihaela van der Schaar:
Incentive design for heterogeneous user-generated content networks. SIGMETRICS Perform. Evaluation Rev. 41(4): 34-37 (2014) - [j152]Yu Zhang, Daby M. Sow, Deepak S. Turaga, Mihaela van der Schaar:
A fast online learning algorithm for distributed mining of BigData. SIGMETRICS Perform. Evaluation Rev. 41(4): 90-93 (2014) - [j151]Karim Kanoun, Nicholas Mastronarde, David Atienza, Mihaela van der Schaar:
Online Energy-Efficient Task-Graph Scheduling for Multicore Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(8): 1194-1207 (2014) - [j150]Yuanzhang Xiao, Mihaela van der Schaar:
Energy-Efficient Nonstationary Spectrum Sharing. IEEE Trans. Commun. 62(3): 810-821 (2014) - [j149]Yu Zhang, Jaeok Park, Mihaela van der Schaar:
Rating Protocols in Online Communities. ACM Trans. Economics and Comput. 2(1): 4:1-4:34 (2014) - [j148]Shaolei Ren, Mihaela van der Schaar:
Dynamic Scheduling and Pricing in Wireless Cloud Computing. IEEE Trans. Mob. Comput. 13(10): 2283-2292 (2014) - [j147]Yu Zhang, Mihaela van der Schaar:
Collective Ratings for Online Communities With Strategic Users. IEEE Trans. Signal Process. 62(12): 3069-3083 (2014) - [j146]Shaolei Ren, Nikos Deligiannis, Yiannis Andreopoulos, Mohammad A. Islam, Mihaela van der Schaar:
Dynamic Scheduling for Energy Minimization in Delay-Sensitive Stream Mining. IEEE Trans. Signal Process. 62(20): 5439-5448 (2014) - [j145]Saeedeh Parsaeefard, Ahmad R. Sharafat, Mihaela van der Schaar:
Robust Additively Coupled Games in the Presence of Bounded Uncertainty in Communication Networks. IEEE Trans. Veh. Technol. 63(3): 1436-1452 (2014) - [j144]Saeedeh Parsaeefard, Mihaela van der Schaar, Ahmad R. Sharafat:
Robust Power Control for Heterogeneous Users in Shared Unlicensed Bands. IEEE Trans. Wirel. Commun. 13(6): 3167-3182 (2014) - [j143]Juan J. Alcaraz, Mihaela van der Schaar:
Coalitional Games With Intervention: Application to Spectrum Leasing in Cognitive Radio. IEEE Trans. Wirel. Commun. 13(11): 6166-6179 (2014) - [j142]Yuanzhang Xiao, William R. Zame, Mihaela van der Schaar:
Technology Choices and Pricing Policies in Public and Private Wireless Networks. IEEE Trans. Wirel. Commun. 13(12): 6606-6618 (2014) - [c202]Yuanzhang Xiao, Florian Dörfler, Mihaela van der Schaar:
Rating and matching in peer review systems. Allerton 2014: 54-61 - [c201]Cem Tekin, Luca Canzian, Mihaela van der Schaar:
Context-adaptive big data stream mining. Allerton 2014: 483-490 - [c200]Cem Tekin, Mihaela van der Schaar:
An experts learning approach to mobile service offloading. Allerton 2014: 643-650 - [c199]Jie Xu, Simpson Zhang, Mihaela van der Schaar:
Network evolution with incomplete information and learning. Allerton 2014: 1163-1168 - [c198]Karim Kanoun, David Atienza, Nicholas Mastronarde, Mihaela van der Schaar:
A unified online directed acyclic graph flow manager for multicore schedulers. ASP-DAC 2014: 714-719 - [c197]Dimitrios Katselis, Carolyn L. Beck, Mihaela van der Schaar:
Ensemble Online Clustering through Decentralized Observations. CDC 2014: 910-915 - [c196]Yuanzhang Xiao, Mihaela van der Schaar:
Decentralized foresighted energy purchase and procurement with renewable generation and energy storage. CDC 2014: 5630-5635 - [c195]Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar:
Towards a theory of societal co-evolution: Individualism versus collectivism. GlobalSIP 2014: 769-773 - [c194]Yuanzhang Xiao, Kartik Ahuja, Mihaela van der Schaar:
Spectrum sharing for delay-sensitive applications with continuing QoS guarantees. GLOBECOM 2014: 1265-1270 - [c193]Jie Xu, James Y. Xu, Linqi Song, Gregory J. Pottie, Mihaela van der Schaar:
Context-driven online learning for activity classification in wireless health. GLOBECOM 2014: 2423-2428 - [c192]Cong Shen, Jie Xu, Mihaela van der Schaar:
Silence is gold: Strategic small cell interference management using tokens. GLOBECOM 2014: 4359-4365 - [c191]Onur Atan, Cem Tekin, Mihaela van der Schaar, Yiannis Andreopoulos:
Bandit framework for systematic learning in wireless video-based face recognition. ICASSP 2014: 704-708 - [c190]Yuanzhang Xiao, Mihaela van der Schaar:
Optimal foresighted packet scheduling and resource allocation for multi-user video transmission in 4G cellular networks. ICASSP 2014: 709-713 - [c189]Luca Canzian, Mihaela van der Schaar:
A network of cooperative learners for data-driven stream Mining. ICASSP 2014: 2908-2912 - [c188]Linqi Song, Cem Tekin, Mihaela van der Schaar:
Clustering based online learning in recommender systems: A bandit approach. ICASSP 2014: 4528-4532 - [c187]Jie Xu, Yangbo Song, Mihaela van der Schaar:
Incentivizing information sharing in networks. ICASSP 2014: 5467-5471 - [c186]Juan J. Alcaraz, Mihaela van der Schaar:
Intervention framework for counteracting collusion in spectrum leasing systems. ICASSP 2014: 7318-7322 - [c185]Linqi Song, Yuanzhang Xiao, Mihaela van der Schaar:
Non-stationary demand side management method for smart grids. ICASSP 2014: 7759-7763 - [c184]Kishan Sudusinghe, Inkeun Cho, Mihaela van der Schaar, Shuvra S. Bhattacharyya:
Model Based Design Environment for Data-driven Embedded Signal Processing Systems. ICCS 2014: 1193-1202 - [c183]Mihaela van der Schaar:
Real-time discovery and decision making from big data. ICCE-TW 2014: 1-3 - [c182]Jie Xu, Dingxiong Deng, Ugur Demiryurek, Cyrus Shahabi, Mihaela van der Schaar:
Context-Aware Online Spatiotemporal Traffic Prediction. ICDM Workshops 2014: 43-46 - [c181]Byung-Gook Kim, Yu Zhang, Mihaela van der Schaar, Jang-Won Lee:
Dynamic pricing for smart grid with reinforcement learning. INFOCOM Workshops 2014: 640-645 - [c180]Yu Zhang, Mihaela van der Schaar:
Structure-aware stochastic load management in smart grids. INFOCOM 2014: 2643-2651 - [c179]Karim Kanoun, Martino Ruggiero, David Atienza, Mihaela van der Schaar:
Low Power and Scalable Many-Core Architecture for Big-Data Stream Computing. ISVLSI 2014: 468-473 - [c178]Cem Tekin, Mihaela van der Schaar:
Discovering, Learning and Exploiting Relevance. NIPS 2014: 1233-1241 - [c177]Mihaela van der Schaar, Simpson Zhang:
A dynamic model of certification and reputation. EC 2014: 967-968 - [i76]Jie Xu, Yiannis Andreopoulos, Yuanzhang Xiao, Mihaela van der Schaar:
Non-stationary Resource Allocation Policies for Delay-constrained Video Streaming: Application to Video over Internet-of-Things-enabled Networks. CoRR abs/1401.0855 (2014) - [i75]Yuanzhang Xiao, Mihaela van der Schaar:
Foresighted Demand Side Management. CoRR abs/1401.2185 (2014) - [i74]Jie Xu, Mihaela van der Schaar, Jiangchuan Liu, Haitao Li:
Forecasting Popularity of Videos using Social Media. CoRR abs/1403.5603 (2014) - [i73]Nikolaos Thomos, Eymen Kurdoglu, Pascal Frossard, Mihaela van der Schaar:
Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery from Multiple Servers. CoRR abs/1409.8650 (2014) - [i72]Cem Tekin, Mihaela van der Schaar:
eTutor: Online Learning for Personalized Education. CoRR abs/1410.3617 (2014) - [i71]Onur Atan, Cem Tekin, Mihaela van der Schaar:
Global Bandits with Holder Continuity. CoRR abs/1410.7890 (2014) - [i70]Luca Canzian, Kun Zhao, Gerard C. L. Wong, Mihaela van der Schaar:
A Dynamic Network Formation Model for Understanding Bacterial Self-Organization into Micro-Colonies. CoRR abs/1410.8091 (2014) - [i69]Yuanzhang Xiao, Florian Dörfler, Mihaela van der Schaar:
Incentive Design in Peer Review: Rating and Repeated Endogenous Matching. CoRR abs/1411.2139 (2014) - [i68]SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer:
Jamming Bandits. CoRR abs/1411.3652 (2014) - [i67]Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar:
Distributed Interference Management Policies for Heterogeneous Small Cell Networks. CoRR abs/1411.5102 (2014) - [i66]Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar:
Towards a Theory of Societal Co-Evolution: Individualism versus Collectivism. CoRR abs/1411.5107 (2014) - [i65]Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed:
Information-Sharing over Adaptive Networks with Self-interested Agents. CoRR abs/1412.1468 (2014) - 2013
- [j141]Yu Zhang, Mihaela van der Schaar:
Strategic Networks: Information Dissemination and Link Formation Among Self-Interested Agents. IEEE J. Sel. Areas Commun. 31(6): 1115-1123 (2013) - [j140]Byung-Gook Kim, Shaolei Ren, Mihaela van der Schaar, Jang-Won Lee:
Bidirectional Energy Trading and Residential Load Scheduling with Electric Vehicles in the Smart Grid. IEEE J. Sel. Areas Commun. 31(7): 1219-1234 (2013) - [j139]Yu Zhang, Mihaela van der Schaar:
Incentive Provision and Job Allocation in Social Cloud Systems. IEEE J. Sel. Areas Commun. 31(9-Supplement): 607-617 (2013) - [j138]William R. Zame, Jie Xu, Mihaela van der Schaar:
Winning the Lottery: Learning Perfect Coordination With Minimal Feedback. IEEE J. Sel. Top. Signal Process. 7(5): 846-857 (2013) - [j137]Yu Zhang, Mihaela van der Schaar:
Robust Reputation Protocol Design for Online Communities: A Stochastic Stability Analysis. IEEE J. Sel. Top. Signal Process. 7(5): 907-920 (2013) - [j136]Jie Xu, Mihaela van der Schaar:
Token System Design for Autonomic Wireless Relay Networks. IEEE Trans. Commun. 61(7): 2924-2935 (2013) - [j135]Luca Canzian, Yuanzhang Xiao, William R. Zame, Michele Zorzi, Mihaela van der Schaar:
Intervention with Private Information, Imperfect Monitoring and Costly Communication. IEEE Trans. Commun. 61(8): 3192-3205 (2013) - [j134]Luca Canzian, Yuanzhang Xiao, William R. Zame, Michele Zorzi, Mihaela van der Schaar:
Intervention with Complete and Incomplete Information: Application to Flow Control. IEEE Trans. Commun. 61(8): 3206-3218 (2013) - [j133]Nicholas Mastronarde, Mihaela van der Schaar:
Joint Physical-Layer and System-Level Power Management for Delay-Sensitive Wireless Communications. IEEE Trans. Mob. Comput. 12(4): 694-709 (2013) - [j132]Nicholas Mastronarde, Karim Kanoun, David Atienza, Pascal Frossard, Mihaela van der Schaar:
Markov Decision Process Based Energy-Efficient On-Line Scheduling for Slice-Parallel Video Decoders on Multicore Systems. IEEE Trans. Multim. 15(2): 268-278 (2013) - [j131]Shaolei Ren, Mihaela van der Schaar:
Efficient Resource Provisioning and Rate Selection for Stream Mining in a Community Cloud. IEEE Trans. Multim. 15(4): 723-734 (2013) - [j130]Shaolei Ren, Jaeok Park, Mihaela van der Schaar:
Entry and Spectrum Sharing Scheme Selection in Femtocell Communications Markets. IEEE/ACM Trans. Netw. 21(1): 218-232 (2013) - [j129]Oussama Habachi, Hsien-Po Shiang, Mihaela van der Schaar, Yezekael Hayel:
Online Learning Based Congestion Control for Adaptive Multimedia Transmission. IEEE Trans. Signal Process. 61(6): 1460-1469 (2013) - [j128]Hsien-Po Shiang, Mihaela van der Schaar:
Conjecture-Based Load Balancing for Delay-Sensitive Users Without Message Exchanges. IEEE Trans. Veh. Technol. 62(8): 3983-3995 (2013) - [j127]Khoa Tran Phan, Tho Le-Ngoc, Mihaela van der Schaar, Fangwen Fu:
Optimal Scheduling over Time-Varying Channels with Traffic Admission Control: Structural Results and Online Learning Algorithms. IEEE Trans. Wirel. Commun. 12(9): 4434-4444 (2013) - [c176]Yuanzhang Xiao, Mihaela van der Schaar:
Distributed demand side management among foresighted decision makers in power networks. ACSSC 2013: 1383-1387 - [c175]Yuanzhang Xiao, Mihaela van der Schaar:
Spectrum sharing policies for heterogeneous delay-sensitive users: A novel design framework. Allerton 2013: 85-92 - [c174]Yu Zhang, Mihaela van der Schaar:
Strategic information dissemination in endogenous networks. Allerton 2013: 389-396 - [c173]Jie Xu, Cem Tekin, Mihaela van der Schaar:
Learning optimal classifier chains for real-time big data mining. Allerton 2013: 512-519 - [c172]Luca Canzian, Yuanzhang Xiao, Michele Zorzi, Mihaela van der Schaar:
Game theoretic design of MAC protocols: Pricing and intervention in slotted-Aloha. Allerton 2013: 707-714 - [c171]Yuanzhang Xiao, Mihaela van der Schaar:
Nonstationary resource sharing with imperfect binary feedback: An optimal design framework for cost minimization. Allerton 2013: 932-939 - [c170]Mahnoosh Alizadeh, Yuanzhang Xiao, Anna Scaglione, Mihaela van der Schaar:
Incentive design for Direct Load Control programs. Allerton 2013: 1029-1036 - [c169]Cem Tekin, Mihaela van der Schaar:
Distributed online Big Data classification using context information. Allerton 2013: 1435-1442 - [c168]Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed:
Distributed spectrum sensing in the presence of selfish users. CAMSAP 2013: 392-395 - [c167]Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed:
Cluster formation over adaptive networks with selfish agents. EUSIPCO 2013: 1-5 - [c166]Nicholas Mastronarde, Viral Patel, Jie Xu, Mihaela van der Schaar:
Learning relaying strategies in cellular D2D networks with token-based incentives. GLOBECOM Workshops 2013: 163-169 - [c165]Eunhye Choi, Suin Song, Hyejin Kim, Jiyeon Hong, Hyunggon Park, Mihaela van der Schaar:
Utility-based server management strategy in cloud networks. GLOBECOM Workshops 2013: 464-469 - [c164]Yuanzhang Xiao, Mihaela van der Schaar:
Energy-efficient nonstationary power control in cognitive radio networks. GLOBECOM 2013: 3029-3034 - [c163]William R. Zame, Jie Xu, Mihaela van der Schaar:
Learning perfect coordination with minimal feedback in wireless multi-access communications. GLOBECOM 2013: 3861-3866 - [c162]Jie Xu, Yu Zhang, Mihaela van der Schaar:
Rating systems for enhanced cyber-security investments. ICASSP 2013: 2915-2919 - [c161]Shaolei Ren, Cuiling Lan, Mihaela van der Schaar:
Energy-efficient design of real-time stream mining systems. ICASSP 2013: 3592-3596 - [c160]Yuanzhang Xiao, Yu Zhang, Mihaela van der Schaar:
Socially-optimal design of crowdsourcing platforms with reputation update errors. ICASSP 2013: 5263-5267 - [c159]Yu Zhang, Mihaela van der Schaar:
Strategic information dissemination and link formation in social networks. ICASSP 2013: 5268-5272 - [c158]Khoa Tran Phan, Tho Le-Ngoc, Mihaela van der Schaar, Fangwen Fu:
Joint scheduling - Traffic admission control: Structural results and online learning algorithm. ICC 2013: 5468-5472 - [c157]Stephen Won, Inkeun Cho, Kishan Sudusinghe, Jie Xu, Yu Zhang, Mihaela van der Schaar, Shuvra S. Bhattacharyya:
A Design Methodology for Distributed Adaptive Stream Mining Systems. ICCS 2013: 2482-2491 - [c156]Oussama Habachi, Nicholas Mastronarde, Hsien-Po Shiang, Mihaela van der Schaar, Yezekael Hayel:
A learning based congestion control for multimedia transmission in wireless networks. ICME 2013: 1-6 - [c155]Nicholas Mastronarde, Karim Kanoun, David Atienza, Mihaela van der Schaar:
Markov decision process based energy-efficient scheduling for slice-parallel video decoding. ICME Workshops 2013: 1-6 - [c154]Kishan Sudusinghe, Stephen Won, Mihaela van der Schaar, Shuvra S. Bhattacharyya:
A novel framework for design and implementation of adaptive stream mining systems. ICME 2013: 1-6 - [c153]Xiaoqing Zhu, Cuiling Lan, Mihaela van der Schaar:
Low-complexity reinforcement learning for delay-sensitive compression in networked video stream mining. ICME 2013: 1-6 - [c152]Shaolei Ren, Mihaela van der Schaar:
Joint design of Dynamic Scheduling and Pricing in wireless cloud computing. INFOCOM 2013: 185-189 - [c151]Byung-Gook Kim, Shaolei Ren, Mihaela van der Schaar, Jang-Won Lee:
Tiered billing scheme for residential load scheduling with bidirectional energy trading. INFOCOM Workshops 2013: 363-368 - [c150]Byung-Gook Kim, Shaolei Ren, Mihaela van der Schaar, Jang-Won Lee:
Bidirectional energy trading for residential load scheduling and electric vehicles. INFOCOM 2013: 595-599 - [c149]Byung-Gook Kim, Shaolei Ren, Mihaela van der Schaar, Jang-Won Lee:
Tiered billing scheme for residential load scheduling with bidirectional energy trading. INFOCOM 2013: 3315-3320 - [c148]Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed:
Reputation design for adaptive networks with selfish agents. SPAWC 2013: 160-164 - [p1]Raphael Ducasse, Mihaela van der Schaar:
Finding It Now: Construction and Configuration of Networked Classifiers in Real-Time Stream Mining Systems. Handbook of Signal Processing Systems 2013: 97-134 - [i64]Cem Tekin, Mihaela van der Schaar:
Distributed Online Big Data Classification Using Context Information. CoRR abs/1307.0781 (2013) - [i63]Nicholas Mastronarde, Viral Patel, Jie Xu, Mihaela van der Schaar:
To Relay or Not to Relay: Learning Relaying Strategies in Cellular Device-to-Device Networks. CoRR abs/1308.3185 (2013) - [i62]Cem Tekin, Mihaela van der Schaar:
Decentralized Online Big Data Classification - a Bandit Framework. CoRR abs/1308.4565 (2013) - [i61]Cem Tekin, Mihaela van der Schaar:
Distributed Online Learning via Cooperative Contextual Bandits. CoRR abs/1308.4568 (2013) - [i60]Luca Canzian, Yu Zhang, Mihaela van der Schaar:
Ensemble of Distributed Learners for Online Classification of Dynamic Data Streams. CoRR abs/1308.5281 (2013) - [i59]Mihaela van der Schaar, Yuanzhang Xiao, William R. Zame:
Designing Efficient Resource Sharing For Impatient Players Using Limited Monitoring. CoRR abs/1309.0262 (2013) - [i58]Jie Xu, Yangbo Song, Mihaela van der Schaar:
Information Sharing in Networks of Strategic Agents. CoRR abs/1309.1815 (2013) - [i57]Cem Tekin, Simpson Zhang, Mihaela van der Schaar:
Distributed Online Learning in Social Recommender Systems. CoRR abs/1309.6707 (2013) - [i56]Mahnoosh Alizadeh, Yuanzhang Xiao, Anna Scaglione, Mihaela van der Schaar:
Incentive Design for Direct Load Control Programs. CoRR abs/1310.0402 (2013) - [i55]Yuanzhang Xiao, Mihaela van der Schaar:
Socially-Optimal Design of Service Exchange Platforms with Imperfect Monitoring. CoRR abs/1310.2323 (2013) - [i54]Yangbo Song, Mihaela van der Schaar:
Dynamic Network Formation with Incomplete Information. CoRR abs/1311.1264 (2013) - [i53]Linqi Song, Yuanzhang Xiao, Mihaela van der Schaar:
Demand Side Management in Smart Grids using a Repeated Game Framework. CoRR abs/1311.1887 (2013) - [i52]Yuanzhang Xiao, Mihaela van der Schaar:
Optimal Foresighted Multi-User Wireless Video. CoRR abs/1311.4227 (2013) - 2012
- [j126]Jaeok Park, Mihaela van der Schaar:
The Theory of Intervention Games for Resource Sharing in Wireless Communications. IEEE J. Sel. Areas Commun. 30(1): 165-175 (2012) - [j125]Oussama Habachi, Yusuo Hu, Mihaela van der Schaar, Yezekael Hayel, Feng Wu:
MOS-Based Congestion Control for Conversational Services in Wireless Environments. IEEE J. Sel. Areas Commun. 30(7): 1225-1236 (2012) - [j124]Nicholas Mastronarde, Francesco Verde, Donatella Darsena, Anna Scaglione, Mihaela van der Schaar:
Transmitting Important Bits and Sailing High Radio Waves: A Decentralized Cross-Layer Approach to Cooperative Video Transmission. IEEE J. Sel. Areas Commun. 30(9): 1597-1604 (2012) - [j123]Yuanzhang Xiao, Mihaela van der Schaar:
Dynamic Spectrum Sharing Among Repeatedly Interacting Selfish Users With Imperfect Monitoring. IEEE J. Sel. Areas Commun. 30(10): 1890-1899 (2012) - [j122]Jie Xu, Mihaela van der Schaar:
Social Norm Design for Information Exchange Systems with Limited Observations. IEEE J. Sel. Areas Commun. 30(11): 2126-2135 (2012) - [j121]Yu Zhang, Mihaela van der Schaar:
Information Production and Link Formation in Social Computing Systems. IEEE J. Sel. Areas Commun. 30(11): 2136-2145 (2012) - [j120]Khoa Tran Phan, Mihaela van der Schaar, William R. Zame:
Congestion, Information, and Secret Information in Flow Networks. IEEE J. Sel. Top. Signal Process. 6(2): 117-126 (2012) - [j119]Yuanzhang Xiao, Jaeok Park, Mihaela van der Schaar:
Intervention in Power Control Games With Selfish Users. IEEE J. Sel. Top. Signal Process. 6(2): 165-179 (2012) - [j118]Yu Zhang, Mihaela van der Schaar:
Peer-to-Peer multimedia sharing based on social norms. Signal Process. Image Commun. 27(5): 383-400 (2012) - [j117]Yuanzhang Xiao, Jaeok Park, Mihaela van der Schaar:
Repeated Games with Intervention: Theory and Applications in Communications. IEEE Trans. Commun. 60(10): 3123-3132 (2012) - [j116]Yi Su, Mihaela van der Schaar:
Structural Solutions for Additively Coupled Sum Constrained Games. IEEE Trans. Commun. 60(12): 3779-3796 (2012) - [j115]Fangwen Fu, Mihaela van der Schaar:
Structural Solutions for Dynamic Scheduling in Wireless Multimedia Transmission. IEEE Trans. Circuits Syst. Video Technol. 22(5): 727-739 (2012) - [j114]Hossein Bobarshad, Mihaela van der Schaar, A. Hamid Aghvami, Reza Sham Dilmaghani, Mohammad Shikh-Bahaei:
Analytical Modeling for Delay-Sensitive Video Over WLAN. IEEE Trans. Multim. 14(2): 401-414 (2012) - [j113]Hsien-Po Shiang, Mihaela van der Schaar:
A Quality-Centric TCP-Friendly Congestion Control for Multimedia Transmission. IEEE Trans. Multim. 14(3-2): 896-909 (2012) - [j112]Shaolei Ren, Mihaela van der Schaar:
Pricing and Investment for Online TV Content Platforms. IEEE Trans. Multim. 14(6): 1566-1578 (2012) - [j111]Khoa Tran Phan, Jaeok Park, Mihaela van der Schaar:
Near-Optimal Deviation-Proof Medium Access Control Designs in Wireless Networks. IEEE/ACM Trans. Netw. 20(5): 1581-1594 (2012) - [j110]Rafit Izhak-Ratzin, Hyunggon Park, Mihaela van der Schaar:
Online Learning in BitTorrent Systems. IEEE Trans. Parallel Distributed Syst. 23(12): 2280-2288 (2012) - [j109]Shaolei Ren, Mihaela van der Schaar:
Data Demand Dynamics in Wireless Communications Markets. IEEE Trans. Signal Process. 60(4): 1986-2000 (2012) - [j108]Aashish Pant, Puneet Gupta, Mihaela van der Schaar:
AppAdapt: Opportunistic Application Adaptation in Presence of Hardware Variation. IEEE Trans. Very Large Scale Integr. Syst. 20(11): 1986-1996 (2012) - [j107]Fangwen Fu, Mihaela van der Schaar:
Structure-Aware Stochastic Control for Transmission Scheduling. IEEE Trans. Veh. Technol. 61(9): 3931-3945 (2012) - [c147]Jie Xu, William R. Zame, Mihaela van der Schaar:
Token economy for online exchange systems. AAMAS 2012: 1283-1284 - [c146]Yuanzhang Xiao, Mihaela van der Schaar:
Distributed spectrum sharing policies for selfish users with imperfect monitoring ability. ACSCC 2012: 661-665 - [c145]Yu Zhang, Mihaela van der Schaar:
Collective ratings for online labor markets. Allerton Conference 2012: 371-378 - [c144]Yuanzhang Xiao, Mihaela van der Schaar:
Repeated resource sharing among selfish players with imperfect binary feedback. Allerton Conference 2012: 452-459 - [c143]Jie Xu, Mihaela van der Schaar:
Sustaining cooperation in social exchange networks with incomplete global information. CDC 2012: 50-55 - [c142]Shaolei Ren, Mihaela van der Schaar:
Energy-efficient community cloud for real-time stream mining. CDC 2012: 424-429 - [c141]Saeedeh Parsaeefard, Mihaela van der Schaar, Ahmad R. Sharafat:
Mitigating uncertainty in Stackelberg games. CDC 2012: 3360-3365 - [c140]Shaolei Ren, Mihaela van der Schaar:
Revenue Maximization in Customer-to-Customer Markets. GAMENETS 2012: 209-223 - [c139]Jie Xu, William R. Zame, Mihaela van der Schaar:
Token-Based Incentive Protocol Design for Online Exchange Systems. GAMENETS 2012: 248-258 - [c138]Chien-Ju Ho, Yu Zhang, Jennifer Wortman Vaughan, Mihaela van der Schaar:
Towards Social Norm Design for Crowdsourcing Markets. HCOMP@AAAI 2012 - [c137]Oussama Habachi, Yusuo Hu, Mihaela van der Schaar, Yezekael Hayel, Feng Wu:
QoE-aware congestion control algorithm for conversational services. ICC 2012: 5233-5537 - [c136]Shaolei Ren, Jaeok Park, Mihaela van der Schaar:
Maximizing profit on user-generated content platforms with heterogeneous participants. INFOCOM 2012: 612-620 - [c135]Yu Zhang, Mihaela van der Schaar:
Reputation-based incentive protocols in crowdsourcing applications. INFOCOM 2012: 2140-2148 - [c134]Chuchu Wu, Mario Gerla, Mihaela van der Schaar:
Social norm incentives for secure network coding in MANETs. NetCod 2012: 179-184 - [c133]Jie Xu, Mihaela van der Schaar:
Designing incentives for wireless relay networks using tokens. WiOpt 2012: 169-176 - [i51]Jie Xu, Mihaela van der Schaar:
Social Norm Design for Information Exchange Systems with Limited Observations. CoRR abs/1201.2918 (2012) - [i50]Yuanzhang Xiao, Mihaela van der Schaar:
Dynamic Spectrum Sharing Among Repeatedly Interacting Selfish Users With Imperfect Monitoring. CoRR abs/1201.3328 (2012) - [i49]Shaolei Ren, Jaeok Park, Mihaela van der Schaar:
Entry and Spectrum Sharing Scheme Selection in Femtocell Markets. CoRR abs/1204.4262 (2012) - [i48]Luca Canzian, Yuanzhang Xiao, William R. Zame, Michele Zorzi, Mihaela van der Schaar:
Designing Information Revelation and Intervention with an Application to Flow Control. CoRR abs/1207.4044 (2012) - [i47]Jie Xu, Yu Zhang, Mihaela van der Schaar:
Designing Rating Systems to Promote Mutual Security for Interconnected Networks. CoRR abs/1211.2287 (2012) - [i46]Luca Canzian, Yuanzhang Xiao, Michele Zorzi, Mihaela van der Schaar:
Pricing and Intervention in Slotted-Aloha: Technical Report. CoRR abs/1211.3677 (2012) - [i45]Yuanzhang Xiao, Mihaela van der Schaar:
Energy-Efficient Nonstationary Spectrum Sharing. CoRR abs/1211.4174 (2012) - 2011
- [j106]Hyunggon Park, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar:
Foresighted tree configuration games in resource constrained distributed stream mining sensors. Ad Hoc Networks 9(4): 497-513 (2011) - [j105]Yi Su, Mihaela van der Schaar:
Linearly Coupled Communication Games. IEEE Trans. Commun. 59(9): 2543-2553 (2011) - [j104]Jaeok Park, Mihaela van der Schaar:
Cognitive MAC Protocols Using Memory for Distributed Spectrum Sharing Under Limited Spectrum Sensing. IEEE Trans. Commun. 59(9): 2627-2637 (2011) - [j103]Brian Foo, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar, Lisa Amini:
Configuring Trees of Classifiers in Distributed Multimedia Stream Mining Systems. IEEE Trans. Circuits Syst. Video Technol. 21(3): 245-258 (2011) - [j102]Mihaela van der Schaar:
Editorial. IEEE Trans. Multim. 13(1): 1 (2011) - [j101]Jaeok Park, Mihaela van der Schaar:
Adaptive MAC Protocols Using Memory for Networks With Critical Traffic. IEEE Trans. Signal Process. 59(3): 1269-1279 (2011) - [j100]Shaolei Ren, Mihaela van der Schaar:
Pricing and Distributed Power Control in Wireless Relay Networks. IEEE Trans. Signal Process. 59(6): 2913-2926 (2011) - [j99]Nicholas Mastronarde, Mihaela van der Schaar:
Fast Reinforcement Learning for Energy-Efficient Wireless Communication. IEEE Trans. Signal Process. 59(12): 6262-6266 (2011) - [j98]Zhichu Lin, Mihaela van der Schaar:
Autonomic and Distributed Joint Routing and Power Control for Delay-Sensitive Applications in Multi-Hop Wireless Networks. IEEE Trans. Wirel. Commun. 10(1): 102-113 (2011) - [c132]Shaolei Ren, Jaeok Park, Mihaela van der Schaar:
Profit maximization on user-generated content platforms. Allerton 2011: 135-142 - [c131]Yu Zhang, Mihaela van der Schaar:
Influencing the long-term evolution of online communities using social norms. Allerton 2011: 306-313 - [c130]Bike Xie, Mihaela van der Schaar, Thomas A. Courtade, Richard D. Wesel:
Minimizing weighted sum finish time for one-to-many file transfer in peer-to-peer networks. Allerton 2011: 1771-1778 - [c129]Yu Zhang, Mihaela van der Schaar:
User adaptation and long-run evolution in online communities. CDC/ECC 2011: 337-342 - [c128]Shaolei Ren, Mihaela van der Schaar:
Data demand dynamics and profit maximization in communications markets. CDC/ECC 2011: 1829-1833 - [c127]Khoa Tran Phan, Mihaela van der Schaar, William R. Zame:
Secret information in communications networks. CDC/ECC 2011: 3110-3115 - [c126]Yi Su, Mihaela van der Schaar:
Additively Coupled Sum Constrained Games. GAMENETS 2011: 76-91 - [c125]Yuanzhang Xiao, William R. Zame, Mihaela van der Schaar:
Technology Choices and Pricing Policies in Wireless Networks. GAMENETS 2011: 92-107 - [c124]Jaeok Park, Mihaela van der Schaar:
Designing Incentive Schemes Based on Intervention: The Case of Imperfect Monitoring. GAMENETS 2011: 221-232 - [c123]Yu Zhang, Jaeok Park, Mihaela van der Schaar:
Designing Social Norm Based Incentive Schemes to Sustain Cooperation in a Large Community. GAMENETS 2011: 578-593 - [c122]Nicholas Mastronarde, Francesco Verde, Donatella Darsena, Anna Scaglione, Mihaela van der Schaar:
A Decentralized Cross-Layer Approach to Cooperative Video Transmission. GLOBECOM 2011: 1-6 - [c121]Saeedeh Parsaeefard, Ahmad R. Sharafat, Mihaela van der Schaar:
Robust Equilibria in Additively Coupled Games in Communications Networks. GLOBECOM 2011: 1-6 - [c120]Shaolei Ren, Fangwen Fu, Mihaela van der Schaar:
Traffic-Dependent Pricing for Delay-Sensitive Multimedia Networks. GLOBECOM 2011: 1-6 - [c119]Yuanzhang Xiao, Jaeok Park, Mihaela van der Schaar:
Design and Analysis of Intervention Mechanisms in Power Control Games. GLOBECOM 2011: 1-6 - [c118]Yu Zhang, Mihaela van der Schaar:
Designing Incentives for P2P Multimedia Sharing. GLOBECOM 2011: 1-6 - [c117]Nesrine Changuel, Nicholas Mastronarde, Mihaela van der Schaar, Bessem Sayadi, Michel Kieffer:
Adaptive scalable layer filtering process for video scheduling over wireless networks based on MAC buffer management. ICASSP 2011: 2352-2355 - [c116]Hsien-Po Shiang, Mihaela van der Schaar:
Content-aware TCP-friendly congestion control for multimedia transmission. ICASSP 2011: 2356-2359 - [c115]Yu Zhang, Jaeok Park, Mihaela van der Schaar:
Social norm based incentive mechanisms for peer-to-peer networks. ICASSP 2011: 3116-3119 - [c114]Nicholas Mastronarde, Mihaela van der Schaar:
Reinforcement learning for energy-efficient wireless transmission. ICASSP 2011: 3452-3455 - [c113]Yu Zhang, Mihaela van der Schaar:
Social norm and long-run learning in peer-to-peer networks. ICASSP 2011: 5784-5787 - [c112]Mihaela van der Schaar, Mubarak Shah, Hujun Bao:
Keynote Abstracts. ICIG 2011 - [c111]Nicholas Mastronarde, Mihaela van der Schaar:
Reinforcement learning for power management in wireless multimedia communications. ICME 2011: 1-6 - [c110]Rafit Izhak-Ratzin, Hyunggon Park, Mihaela van der Schaar:
Reinforcement learning in BitTorrent systems. INFOCOM 2011: 406-410 - [c109]Jaeok Park, Mihaela van der Schaar:
Incentive provision using intervention. INFOCOM 2011: 571-575 - [c108]Shaolei Ren, Jaeok Park, Mihaela van der Schaar:
User subscription dynamics and revenue maximization in communications markets. INFOCOM 2011: 2696-2704 - [i44]Yu Zhang, Jaeok Park, Mihaela van der Schaar:
Social Norms for Networked Communities. CoRR abs/1101.0272 (2011) - [i43]Jaeok Park, Mihaela van der Schaar:
The Theory of Intervention Games for Resource Sharing in Wireless Communications. CoRR abs/1101.3052 (2011) - [i42]Yu Zhang, Mihaela van der Schaar:
Peer-to-Peer Multimedia Sharing based on Social Norms. CoRR abs/1102.1503 (2011) - [i41]Nicholas Mastronarde, Francesco Verde, Donatella Darsena, Anna Scaglione, Mihaela van der Schaar:
Transmitting important bits and sailing high radio waves: a decentralized cross-layer approach to cooperative video transmission. CoRR abs/1102.5437 (2011) - [i40]Saeedeh Parsaeefard, Ahmad R. Sharafat, Mihaela van der Schaar:
Robust Additively Coupled Games. CoRR abs/1103.4868 (2011) - [i39]Yuanzhang Xiao, Jaeok Park, Mihaela van der Schaar:
Intervention in Power Control Games With Selfish Users. CoRR abs/1104.1227 (2011) - [i38]Yu Zhang, Mihaela van der Schaar:
Reputation-based Incentive Protocols in Crowdsourcing Applications. CoRR abs/1108.2096 (2011) - [i37]Saeedeh Parsaeefard, Mihaela van der Schaar, Ahmad R. Sharafat:
Robust Stackelberg game in communication systems. CoRR abs/1108.5025 (2011) - [i36]Yu Zhang, Mihaela van der Schaar:
Strategic Learning and Robust Protocol Design for Online Communities with Selfish Users. CoRR abs/1108.5514 (2011) - [i35]Jie Xu, Mihaela van der Schaar, William R. Zame:
Designing Exchange for Online Communities. CoRR abs/1108.5871 (2011) - [i34]Yu Zhang, Jaeok Park, Mihaela van der Schaar:
Production and Network Formation Games with Content Heterogeneity. CoRR abs/1109.4201 (2011) - [i33]Yuanzhang Xiao, Jaeok Park, Mihaela van der Schaar:
Repeated Games With Intervention: Theory and Applications in Communications. CoRR abs/1111.2456 (2011) - [i32]Nicholas Mastronarde, Karim Kanoun, David Atienza, Pascal Frossard, Mihaela van der Schaar:
Markov Decision Process Based Energy-Efficient On-Line Scheduling for Slice-Parallel Video Decoders on Multicore Systems. CoRR abs/1112.4084 (2011) - 2010
- [j97]Zhichu Lin, Mihaela van der Schaar:
MAC Layer Jamming Mitigation Using a Game Augmented by Intervention. EURASIP J. Wirel. Commun. Netw. 2010 (2010) - [j96]Omar A. Nasr, Mihaela van der Schaar, Babak Daneshrad:
A unique beamforming-based equilibrium in multi-user random access SIMO networks. IEEE Commun. Lett. 14(2): 160-162 (2010) - [j95]Fangwen Fu, Mihaela van der Schaar:
A systematic framework for dynamically optimizing multi-user wireless video transmission. IEEE J. Sel. Areas Commun. 28(3): 308-320 (2010) - [j94]Yi Su, Mihaela van der Schaar:
Dynamic conjectures in random access networks using bio-inspired learning. IEEE J. Sel. Areas Commun. 28(4): 587-601 (2010) - [j93]Hsien-Po Shiang, Mihaela van der Schaar:
Online learning in autonomic multi-hop wireless networks for transmitting mission-critical applications. IEEE J. Sel. Areas Commun. 28(5): 728-741 (2010) - [j92]Raphael Ducasse, Deepak S. Turaga, Mihaela van der Schaar:
Adaptive Topologic Optimization for Large-Scale Stream Mining. IEEE J. Sel. Top. Signal Process. 4(3): 620-636 (2010) - [j91]Jaeok Park, Mihaela van der Schaar:
A Game Theoretic Analysis of Incentives in Content Production and Sharing Over Peer-to-Peer Networks. IEEE J. Sel. Top. Signal Process. 4(4): 704-717 (2010) - [j90]Zhen Cao, Brian Foo, Lei He, Mihaela van der Schaar:
Optimality and Improvement of Dynamic Voltage Scaling Algorithms for Multimedia Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(3): 681-690 (2010) - [j89]Hyunggon Park, Mihaela van der Schaar:
Fairness Strategies for Wireless Resource Allocation Among Autonomous Multimedia Users. IEEE Trans. Circuits Syst. Video Technol. 20(2): 297-309 (2010) - [j88]Hsien-Po Shiang, Mihaela van der Schaar:
Information-Constrained Resource Allocation in Multicamera Wireless Surveillance Networks. IEEE Trans. Circuits Syst. Video Technol. 20(4): 505-517 (2010) - [j87]Nicholas Mastronarde, Mihaela van der Schaar:
Online Reinforcement Learning for Dynamic Multimedia Systems. IEEE Trans. Image Process. 19(2): 290-305 (2010) - [j86]Brian Foo, Mihaela van der Schaar:
A Distributed Approach for Optimizing Cascaded Classifier Topologies in Real-Time Stream Mining Systems. IEEE Trans. Image Process. 19(11): 3035-3048 (2010) - [j85]Hossein Bobarshad, Mihaela van der Schaar, Mohammad Shikh-Bahaei:
A Low-Complexity Analytical Modeling for Cross-Layer Adaptive Error Protection in Video Over WLAN. IEEE Trans. Multim. 12(5): 427-438 (2010) - [j84]Jaeok Park, Mihaela van der Schaar:
Medium Access Control Protocols With Memory. IEEE/ACM Trans. Netw. 18(6): 1921-1934 (2010) - [j83]Hyunggon Park, Mihaela van der Schaar:
Evolution of resource reciprocation strategies in P2P networks. IEEE Trans. Signal Process. 58(3): 1205-1218 (2010) - [j82]Fangwen Fu, Mihaela van der Schaar:
Decomposition principles and online learning in cross-layer optimization for delay-sensitive applications. IEEE Trans. Signal Process. 58(3): 1401-1415 (2010) - [j81]Yu Zhang, Fangwen Fu, Mihaela van der Schaar:
On-line learning and optimization for wireless video transmission. IEEE Trans. Signal Process. 58(6): 3108-3124 (2010) - [j80]Shaolei Ren, Mihaela van der Schaar:
Distributed power allocation in multi-user multi-channel cellular relay networks. IEEE Trans. Wirel. Commun. 9(6): 1952-1964 (2010) - [c107]Yi Su, Mihaela van der Schaar:
Linearly coupled communication games. Allerton 2010: 1024-1029 - [c106]Khoa Tran Phan, Jaeok Park, Mihaela van der Schaar:
Design and Analysis of Defection-Proof MAC Protocols Using a Repeated Game Framework. GLOBECOM 2010: 1-6 - [c105]Shaolei Ren, Jaeok Park, Mihaela van der Schaar:
User Subscription Dynamics in Communication Markets. GLOBECOM 2010: 1-5 - [c104]Yi Su, Mihaela van der Schaar:
Towards Efficient, Stable, and Fair Random Access Networks: A Conjectural Equilibrium Approach. GLOBECOM 2010: 1-6 - [c103]Aashish Pant, Puneet Gupta, Mihaela van der Schaar:
Software adaptation in quality sensitive applications to deal with hardware variability. ACM Great Lakes Symposium on VLSI 2010: 85-90 - [c102]Nicholas Mastronarde, Mihaela van der Schaar:
Online reinforcement learning for multimedia buffer control. ICASSP 2010: 1958-1961 - [c101]Nicholas Mastronarde, Mihaela van der Schaar:
A new approach to cross-layer optimization of multimedia systems. ICASSP 2010: 2310-2313 - [c100]Fangwen Fu, Mihaela van der Schaar:
Dependent optimal stopping framework for wireless multimedia transmission. ICASSP 2010: 2354-2357 - [c99]Nicholas Mastronarde, Mihaela van der Schaar, Anna Scaglione, Francesco Verde, Donatella Darsena:
Sailing good radio waves and transmitting important bits: Relay cooperation in wireless video transmission. ICASSP 2010: 5566-5569 - [c98]Shaolei Ren, Mihaela van der Schaar:
Pricing and Distributed Power Control for Relay Networks. ICC 2010: 1-5 - [c97]Raphael Ducasse, Deepak S. Turaga, Mihaela van der Schaar:
Ordering of stream mining classifiers. ICIP 2010: 3177-3180 - [c96]Jaeok Park, Mihaela van der Schaar:
Pricing and Incentives in Peer-to-Peer Networks. INFOCOM 2010: 956-964 - [c95]Nesrine Changuel, Nicholas Mastronarde, Mihaela van der Schaar, Bessem Sayadi, Michel Kieffer:
End-to-end stochastic scheduling of scalable video overtime-varying channels. ACM Multimedia 2010: 731-734 - [c94]Deepak S. Turaga, Mihaela van der Schaar:
Designing and optimizing large-scale multimedia mining applications in distributed processing environments. ACM Multimedia 2010: 1787-1788 - [c93]Nicholas Mastronarde, Mihaela van der Schaar:
Online layered learning for cross-layer optimization of dynamic multimedia systems. MMSys 2010: 47-58 - [c92]Jaeok Park, Mihaela van der Schaar:
Content Pricing in Peer-to-Peer Networks. NetEcon 2010: 3:1-3:6 - [i31]Bike Xie, Mihaela van der Schaar, Richard D. Wesel:
Minimizing weighted sum delay for one-to-many file transfer in peer-to-peer networks. CoRR abs/1002.3449 (2010) - [i30]Fangwen Fu, Mihaela van der Schaar:
Structure-Aware Stochastic Control for Transmission Scheduling. CoRR abs/1003.2471 (2010) - [i29]Jaeok Park, Mihaela van der Schaar:
Adaptive MAC Protocols Using Memory for Networks with Critical Traffic. CoRR abs/1005.0693 (2010) - [i28]Yi Su, Mihaela van der Schaar:
Structural Solutions For Additively Coupled Sum Constrained Games. CoRR abs/1005.0880 (2010) - [i27]Khoa Tran Phan, Jaeok Park, Mihaela van der Schaar:
Near-Optimal Deviation-Proof Medium Access Control Designs in Wireless Networks. CoRR abs/1006.3782 (2010) - [i26]Rafit Izhak-Ratzin, Hyunggon Park, Mihaela van der Schaar:
Reinforcement Learning in BitTorrent Systems. CoRR abs/1007.4301 (2010) - [i25]Jaeok Park, Mihaela van der Schaar:
Intervention Mechanism Design for Networks With Selfish Users. CoRR abs/1008.0147 (2010) - [i24]Fangwen Fu, Mihaela van der Schaar:
Structural Solutions to Dynamic Scheduling for Multimedia Transmission in Unknown Wireless Environments. CoRR abs/1008.4406 (2010) - [i23]Nicholas Mastronarde, Mihaela van der Schaar:
Fast Reinforcement Learning for Energy-Efficient Wireless Communications. CoRR abs/1009.5773 (2010) - [i22]Yuanzhang Xiao, William R. Zame, Mihaela van der Schaar:
Technology Choices and Pricing Policies in Public and Private Wireless Networks. CoRR abs/1011.3580 (2010) - [i21]Jaeok Park, Mihaela van der Schaar:
Designing Incentive Schemes Based on Intervention: The Case of Imperfect Monitoring. CoRR abs/1012.1672 (2010) - [i20]Jaeok Park, Mihaela van der Schaar:
Designing Incentive Schemes Based on Intervention: The Case of Perfect Monitoring. CoRR abs/1012.1673 (2010)
2000 – 2009
- 2009
- [j79]Brian Foo, Mihaela van der Schaar:
A Rules-Based Approach for Configuring Chains of Classifiers in Real-Time Stream Mining Systems. EURASIP J. Adv. Signal Process. 2009 (2009) - [j78]Jaeok Park, Mihaela van der Schaar:
Stackelberg Contention Games in Multiuser Networks. EURASIP J. Adv. Signal Process. 2009 (2009) - [j77]Hsien-Po Shiang, Wenchi Tu, Mihaela van der Schaar:
Predictive Spectrum Access for Multimedia Users over Multi-Channel Wireless Networks. J. Commun. 4(9): 640-653 (2009) - [j76]Mihaela van der Schaar, Fangwen Fu:
Spectrum Access Games and Strategic Learning in Cognitive Radio Networks for Delay-Critical Applications. Proc. IEEE 97(4): 720-740 (2009) - [j75]Nicholas Mastronarde, Mihaela van der Schaar:
Designing autonomous layered video coders. Signal Process. Image Commun. 24(6): 417-436 (2009) - [j74]Zhichu Lin, Mihaela van der Schaar:
On the Correlated Equilibrium Selection for Two-User Channel Access Games. IEEE Signal Process. Lett. 16(3): 156-159 (2009) - [j73]Ju-Lan Hsu, Mihaela van der Schaar:
Cross Layer Design and Analysis of Multiuser Wireless Video Streaming Over 802.11e EDCA. IEEE Signal Process. Lett. 16(4): 268-271 (2009) - [j72]Hyunggon Park, Mihaela van der Schaar:
On the Impact of Bounded Rationality in Peer-to-Peer Networks. IEEE Signal Process. Lett. 16(8): 675-678 (2009) - [j71]Nicholas Mastronarde, Mihaela van der Schaar:
Towards a General Framework for Cross-Layer Decision Making in Multimedia Systems. IEEE Trans. Circuits Syst. Video Technol. 19(5): 719-732 (2009) - [j70]N. Kontorinis, Yiannis Andreopoulos, Mihaela van der Schaar:
Statistical Framework for Video Decoding Complexity Modeling and Prediction. IEEE Trans. Circuits Syst. Video Technol. 19(7): 1000-1013 (2009) - [j69]Brian Foo, Mihaela van der Schaar:
Informationally Decentralized System Resource Management for Multiple Multimedia Tasks. IEEE Trans. Circuits Syst. Video Technol. 19(9): 1352-1364 (2009) - [j68]Hyunggon Park, Mihaela van der Schaar:
Quality-Based Resource Brokerage for Autonomous Networked Multimedia Applications. IEEE Trans. Circuits Syst. Video Technol. 19(12): 1781-1792 (2009) - [j67]Hyunggon Park, Mihaela van der Schaar:
A Framework for Foresighted Resource Reciprocation in P2P Networks. IEEE Trans. Multim. 11(1): 101-116 (2009) - [j66]Nicholas Mastronarde, Mihaela van der Schaar:
Automated Bidding for Media Services at the Edge of a Content Delivery Network. IEEE Trans. Multim. 11(3): 543-555 (2009) - [j65]Hyunggon Park, Mihaela van der Schaar:
Coalition-Based Resource Negotiation for Multimedia Applications in Informationally Decentralized Networks. IEEE Trans. Multim. 11(4): 765-779 (2009) - [j64]Yi Su, Mihaela van der Schaar:
Conjectural equilibrium in multiuser power control games. IEEE Trans. Signal Process. 57(9): 3638-3650 (2009) - [j63]Hsien-Po Shiang, Mihaela van der Schaar:
Distributed Resource Management in Multihop Cognitive Radio Networks for Delay-Sensitive Transmission. IEEE Trans. Veh. Technol. 58(2): 941-953 (2009) - [j62]Fangwen Fu, Mihaela van der Schaar:
A New Systematic Framework for Autonomous Cross-Layer Optimization. IEEE Trans. Veh. Technol. 58(4): 1887-1903 (2009) - [j61]Fangwen Fu, Mihaela van der Schaar:
Learning to Compete for Resources in Wireless Stochastic Games. IEEE Trans. Veh. Technol. 58(4): 1904-1919 (2009) - [j60]Hsien-Po Shiang, Mihaela van der Schaar:
Feedback-Driven Interactive Learning in Dynamic Wireless Resource Management for Delay-Sensitive Users. IEEE Trans. Veh. Technol. 58(4): 2030-2043 (2009) - [j59]Yi Su, Mihaela van der Schaar:
Minimum Required Learning and Impact of Information Feedback Delay for Cognitive Users. IEEE Trans. Veh. Technol. 58(6): 2825-2834 (2009) - [j58]Yi Su, Mihaela van der Schaar:
A new perspective on multi-user power control games in interference channels. IEEE Trans. Wirel. Commun. 8(6): 2910-2919 (2009) - [c91]Yi Su, Mihaela van der Schaar:
From competition to coopetition: Stackelberg equilibrium in multi-user power control games. GAMENETS 2009: 107-116 - [c90]Jaeok Park, Mihaela van der Schaar:
Achieving coordination in random access networks without explicit message passing. GAMENETS 2009: 206-211 - [c89]Hsien-Po Shiang, Mihaela van der Schaar:
Conjecture-based channel selection game for delay-sensitive users in multi-channel wireless networks. GAMENETS 2009: 241-250 - [c88]Yi Su, Mihaela van der Schaar:
Conjectural Equilibrium in Water-Filling Games. GLOBECOM 2009: 1-7 - [c87]Hyunggon Park, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar:
A framework for distributed multimedia stream mining systems using coalition-based foresighted strategies. ICASSP 2009: 1585-1588 - [c86]Hyunggon Park, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar:
Tree configuration games for distributed stream mining systems. ICASSP 2009: 1773-1776 - [c85]Hyunggon Park, Mihaela van der Schaar:
Evolution of social P2P networks based on the dynamics of heterogeneous multimedia peers. ICASSP 2009: 3473-3476 - [c84]Deepak S. Turaga, Rong Yan, Olivier Verscheure, Brian Foo, Fangwen Fu, Hyunggon Park, Mihaela van der Schaar:
Resource-adaptive multimedia analysis on stream mining systems. ICME 2009: 1584-1585 - [c83]Raphael Ducasse, Deepak S. Turaga, Mihaela van der Schaar:
Topology selection for stream mining systems. LS-MMRM@ACM Multimedia 2009: 113-120 - [c82]Shaolei Ren, Mihaela van der Schaar:
Revenue maximization and distributed power allocation in cognitive radio networks. CoRoNet@MobiCom 2009: 43-48 - [c81]Shin Jae Kang, Yun-Jae Won, Dai-Gil Kwon, Kyeung-Hak Seo, Seung-Ok Lim, Mihaela van der Schaar:
Efficient resource management with reduced overhead information. PIMRC 2009: 1452-1456 - [i19]Yi Su, Mihaela van der Schaar:
Dynamic Conjectures in Random Access Networks Using Bio-inspired Learning. CoRR abs/0903.0094 (2009) - [i18]Fangwen Fu, Mihaela van der Schaar:
A Systematic Framework for Dynamically Optimizing Multi-User Wireless Video Transmission. CoRR abs/0903.0207 (2009) - [i17]Jaeok Park, Mihaela van der Schaar:
Mission-Aware Medium Access Control in Random Access Networks. CoRR abs/0904.0544 (2009) - [i16]Fangwen Fu, Mihaela van der Schaar:
Structural Solutions for Cross-Layer Optimization of Wireless Multimedia Transmission. CoRR abs/0905.4087 (2009) - [i15]Jaeok Park, Mihaela van der Schaar:
Medium Access Control Protocols With Memory. CoRR abs/0906.0531 (2009) - [i14]Nicholas Mastronarde, Mihaela van der Schaar:
Online Reinforcement Learning for Dynamic Multimedia Systems. CoRR abs/0906.5325 (2009) - [i13]Yi Su, Mihaela van der Schaar:
Linearly Coupled Communication Games. CoRR abs/0908.1613 (2009) - [i12]Hsien-Po Shiang, Mihaela van der Schaar:
Media-TCP: A Quality-Centric TCP-Friendly Congestion Control for Multimedia Transmission. CoRR abs/0910.4186 (2009) - [i11]Jaeok Park, Mihaela van der Schaar:
A Game Theoretic Analysis of Incentives in Content Production and Sharing over Peer-to-Peer Networks. CoRR abs/0910.4618 (2009) - [i10]Jaeok Park, Mihaela van der Schaar:
Cognitive MAC Protocols Using Memory for Distributed Spectrum Sharing under Limited Spectrum Sensing. CoRR abs/0912.4993 (2009) - 2008
- [j57]Yi Su, Mihaela van der Schaar:
A Simple Characterization of Strategic Behaviors in Broadcast Channels. IEEE Signal Process. Lett. 15: 37-40 (2008) - [j56]Brian Foo, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar, Lisa Amini:
Resource Constrained Stream Mining With Classifier Tree Topologies. IEEE Signal Process. Lett. 15: 761-764 (2008) - [j55]Hyunggon Park, Mihaela van der Schaar:
Coalition-Based Resource Reciprocation Strategies for P2P Multimedia Broadcasting. IEEE Trans. Broadcast. 54(3): 557-567 (2008) - [j54]Nicholas Mastronarde, Mihaela van der Schaar:
A Bargaining Theoretic Approach to Quality-Fair System Resource Allocation for Multiple Decoding Tasks. IEEE Trans. Circuits Syst. Video Technol. 18(4): 453-466 (2008) - [j53]Emrah Akyol, Mihaela van der Schaar:
Compression-Aware Energy Optimization for Video Decoding Systems With Passive Power. IEEE Trans. Circuits Syst. Video Technol. 18(9): 1300-1306 (2008) - [j52]Mihaela van der Schaar, Deepak S. Turaga, Ritesh Sood:
Stochastic Optimization for Content Sharing in P2P Systems. IEEE Trans. Multim. 10(1): 132-144 (2008) - [j51]Hsien-Po Shiang, Mihaela van der Schaar:
Queuing-Based Dynamic Channel Selection for Heterogeneous Multimedia Applications Over Cognitive Radio Networks. IEEE Trans. Multim. 10(5): 896-909 (2008) - [j50]Shih-Chung Su, Mihaela van der Schaar:
On the Application of Game-Theoretic Mechanism Design for Resource Allocation in Multimedia Systems. IEEE Trans. Multim. 10(6): 1197-1207 (2008) - [j49]Yiannis Andreopoulos, Mihaela van der Schaar:
Incremental Refinement of Computation for the Discrete Wavelet Transform. IEEE Trans. Signal Process. 56(1): 140-157 (2008) - [j48]Brian Foo, Mihaela van der Schaar:
A Queuing Theoretic Approach to Processor Power Adaptation for Video Decoding Systems. IEEE Trans. Signal Process. 56(1): 378-392 (2008) - [j47]Brian Foo, Yiannis Andreopoulos, Mihaela van der Schaar:
Analytical Rate-Distortion-Complexity Modeling of Wavelet-Based Video Coders. IEEE Trans. Signal Process. 56(2): 797-815 (2008) - [j46]Yi Su, Mihaela van der Schaar:
Multiuser Multimedia Resource Allocation Over Multicarrier Wireless Networks. IEEE Trans. Signal Process. 56(5): 2102-2116 (2008) - [j45]Cong Shen, Mihaela van der Schaar:
Optimal Resource Allocation for Multimedia Applications over Multiaccess Fading Channels. IEEE Trans. Wirel. Commun. 7(9): 3546-3557 (2008) - [c80]Zhen Cao, Brian Foo, Lei He, Mihaela van der Schaar:
Optimality and improvement of dynamic voltage scaling algorithms for multimedia applications. DAC 2008: 179-184 - [c79]Wenchi Tu, Mihaela van der Schaar:
Distributed Spectrum Allocation of Delay-Sensitive Users over Multi-User Multi-Carrier Networks. GLOBECOM 2008: 1273-1277 - [c78]Hyunggon Park, Mihaela van der Schaar:
Foresighted Resource Reciprocation Strategies in P2P Networks. GLOBECOM 2008: 2206-2210 - [c77]Yi Su, Mihaela van der Schaar:
A New Look at Multi-User Power Control Games. ICC 2008: 1072-1076 - [c76]Hsien-Po Shiang, Wenchi Tu, Mihaela van der Schaar:
Dynamic Resource Allocation of Delay Sensitive Users Using Interactive Learning over Multi-Carrier Networks. ICC 2008: 2502-2506 - [c75]Fangwen Fu, Mihaela van der Schaar:
Dynamic Spectrum Sharing Using Learning for Delay-Sensitive Applications. ICC 2008: 2825-2829 - [c74]Yi Su, Mihaela van der Schaar:
Resource Allocation for Multi-User Video Transmission over Multi-Carrier Networks. ICC 2008: 4138-4143 - [c73]Hsien-Po Shiang, Mihaela van der Schaar:
Dynamic channel selection for multi-user video streaming over cognitive radio networks. ICIP 2008: 2316-2319 - [c72]Nicholas Mastronarde, Mihaela van der Schaar:
A scalable complexity specification for video applications. ICIP 2008: 2576-2579 - [c71]Hyunggon Park, Mihaela van der Schaar:
Information-driven resource negotiation strategies for multimedia applications. ICIP 2008: 3076-3079 - [c70]Fangwen Fu, Mihaela van der Schaar:
A new theoretic framework for cross-layer optimization. ICIP 2008: 3080-3083 - [i9]Yi Su, Mihaela van der Schaar:
Decentralized Knowledge and Learning in Strategic Multi-user Communication. CoRR abs/0804.2831 (2008) - [i8]Jaeok Park, Mihaela van der Schaar:
Stackelberg Contention Games in Multi-User Networks. CoRR abs/0810.0745 (2008) - [i7]Yi Su, Mihaela van der Schaar:
Conjectural Equilibrium in Water-filling Games. CoRR abs/0811.0048 (2008) - [i6]Bike Xie, Mihaela van der Schaar, Richard D. Wesel:
Analytical Framework for Optimizing Weighted Average Download Time in Peer-to-Peer Networks. CoRR abs/0811.4030 (2008) - [i5]Fangwen Fu, Mihaela van der Schaar:
Decomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications. CoRR abs/0812.1244 (2008) - 2007
- [j44]Zhu Han, Haohong Wang, Dapeng Oliver Wu, Jianwei Huang, Mihaela van der Schaar:
Cross-Layer Optimized Wireless Multimedia Communications. Adv. Multim. 2007: 61391:1-61391:2 (2007) - [j43]Nicholas Mastronarde, Deepak S. Turaga, Mihaela van der Schaar:
Collaborative resource exchanges for peer-to-peer video streaming over wireless mesh networks. IEEE J. Sel. Areas Commun. 25(1): 108-118 (2007) - [j42]Ahmad Reza Fattahi, Fangwen Fu, Mihaela van der Schaar, Fernando Paganini:
Mechanism-based resource allocation for multimedia transmission over spectrum agile wireless networks. IEEE J. Sel. Areas Commun. 25(3): 601-612 (2007) - [j41]Hsien-Po Shiang, Mihaela van der Schaar:
Multi-user video streaming over multi-hop wireless networks: a distributed, cross-layer approach based on priority queuing. IEEE J. Sel. Areas Commun. 25(4): 770-785 (2007) - [j40]Fangwen Fu, Tudor M. Stoenescu, Mihaela van der Schaar:
A Pricing Mechanism for Resource Allocation in Wireless Multimedia Applications. J. Sel. Topics Signal Processing 1(2): 264-279 (2007) - [j39]Fangwen Fu, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar, Lisa Amini:
Configuring Competing Classifier Chains in Distributed Stream Mining Systems. J. Sel. Topics Signal Processing 1(4): 548-563 (2007) - [j38]Bengt J. Borgstrom, Mihaela van der Schaar, Abeer Alwan:
Rate Allocation for Noncollaborative Multiuser Speech Communication Systems Based on Bargaining Theory. IEEE Trans. Speech Audio Process. 15(4): 1156-1166 (2007) - [j37]Yiannis Andreopoulos, Mihaela van der Schaar:
Adaptive Linear Prediction for Resource Estimation of Video Decoding. IEEE Trans. Circuits Syst. Video Technol. 17(6): 751-764 (2007) - [j36]Xiaolin Tong, Yiannis Andreopoulos, Mihaela van der Schaar:
Distortion-Driven Video Streaming over Multihop Wireless Networks with Path Diversity. IEEE Trans. Mob. Comput. 6(12): 1343-1356 (2007) - [j35]Mihaela van der Schaar, Deepak S. Turaga:
Cross-Layer Packetization and Retransmission Strategies for Delay-Sensitive Wireless Multimedia Transmission. IEEE Trans. Multim. 9(1): 185-197 (2007) - [j34]Fangwen Fu, Mihaela van der Schaar:
Noncollaborative Resource Management for Wireless Multimedia Applications Using Mechanism Design. IEEE Trans. Multim. 9(4): 851-868 (2007) - [j33]Hsien-Po Shiang, Mihaela van der Schaar:
Informationally Decentralized Video Streaming Over Multihop Wireless Networks. IEEE Trans. Multim. 9(6): 1299-1313 (2007) - [j32]Emrah Akyol, Mihaela van der Schaar:
Complexity Model Based Proactive Dynamic Voltage Scaling for Video Decoding Systems. IEEE Trans. Multim. 9(7): 1475-1492 (2007) - [j31]Nicholas Mastronarde, Mihaela van der Schaar:
A Queuing-Theoretic Approach to Task Scheduling and Processor Selection for Video-Decoding Applications. IEEE Trans. Multim. 9(7): 1493-1507 (2007) - [j30]Yiannis Andreopoulos, Mihaela van der Schaar:
Generalized Phase Shifting for M-Band Discrete Wavelet Packet Transforms. IEEE Trans. Signal Process. 55(2): 742-747 (2007) - [j29]Yiannis Andreopoulos, Mihaela van der Schaar:
Complexity-Constrained Video Bitstream Shaping. IEEE Trans. Signal Process. 55(5-1): 1967-1974 (2007) - [j28]Hyunggon Park, Mihaela van der Schaar:
Bargaining Strategies for Networked Multimedia Resource Management. IEEE Trans. Signal Process. 55(7-1): 3496-3511 (2007) - [j27]Sai Shankar N., Mihaela van der Schaar:
Performance Analysis of Video Transmission Over IEEE 802.11a/e WLANs. IEEE Trans. Veh. Technol. 56(4): 2346-2362 (2007) - [j26]Qiong Li, Yiannis Andreopoulos, Mihaela van der Schaar:
Streaming-Viability Analysis and Packet Scheduling for Video Over In-Vehicle Wireless Networks. IEEE Trans. Veh. Technol. 56(6): 3533-3549 (2007) - [c69]Hyunggon Park, Mihaela van der Schaar:
Fairness Strategies for Multi-user Multimedia Applications in Competitive Environments using the Kalai-Smorodinsky Bargaining Solution. ICASSP (2) 2007: 713-716 - [c68]Hyunggon Park, Mihaela van der Schaar:
Multi-User Multimedia Resource Management using Nash Bargaining Solution. ICASSP (2) 2007: 717-720 - [c67]Brian Foo, Yiannis Andreopoulos, Mihaela van der Schaar:
Analytical Complexity Modeling of Wavelet-based Video Coders. ICASSP (3) 2007: 789-792 - [c66]Fangwen Fu, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar, Lisa Amini:
Configuring Networked Classifiers in Distributed and Resource Constrained Stream Processing Systems. ICASSP (3) 2007: 1085-1088 - [c65]Cong Shen, Mihaela van der Schaar:
Optimal Resource Allocation in Wireless Multiaccess Video Transmissions. ICC 2007: 4581-4586 - [c64]Yiannis Andreopoulos, Mihaela van der Schaar:
Incremental Refinement of Computation for the Discrete Wavelet Transform. ICIP (4) 2007: 53-56 - [c63]Brian Foo, Mihaela van der Schaar:
Graceful Quality Degradation for Video Decoding Systems Through Priority Scheduling and Processor Power Adaptation. ICIP (3) 2007: 317-320 - [c62]Emrah Akyol, Mihaela van der Schaar:
Buffer Constrained Proactive Dynamic Voltage Scaling for Video Decoding Systems. ICIP (6) 2007: 477-480 - [i4]Yi Su, Mihaela van der Schaar:
A Simple Characterization of Strategic Behaviors in Broadcast Channels. CoRR abs/0709.2445 (2007) - [i3]Fangwen Fu, Mihaela van der Schaar:
Learning for Dynamic Bidding in Cognitive Radio Resources. CoRR abs/0709.2446 (2007) - [i2]Yi Su, Mihaela van der Schaar:
A New Perspective on Multi-user Power Control Games in Interference Channels. CoRR abs/0709.3880 (2007) - [i1]Fangwen Fu, Mihaela van der Schaar:
A New Theoretic Foundation for Cross-Layer Optimization. CoRR abs/0712.2497 (2007) - 2006
- [b1]Mihaela van der Schaar, Deepak S. Turaga, Thomas Stockhammer:
MPEG-4 Beyond Conventional Video Coding: Object Coding, Resilience, and Scalability. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2006, ISBN 978-3-031-01111-5 - [j25]Yiannis Andreopoulos, Nicholas Mastronarde, Mihaela van der Schaar:
Cross-Layer Optimized Video Streaming Over Wireless Multihop Mesh Networks. IEEE J. Sel. Areas Commun. 24(11): 2104-2115 (2006) - [j24]Mingshi Wang, Mihaela van der Schaar:
Model-based joint source channel coding for subband video. IEEE Signal Process. Lett. 13(6): 341-344 (2006) - [j23]Christophe Tillier, Béatrice Pesquet-Popescu, Mihaela van der Schaar:
3-band motion-compensated temporal structures for scalable video coding. IEEE Trans. Image Process. 15(9): 2545-2557 (2006) - [j22]Mihaela van der Schaar, Yiannis Andreopoulos, Zhiping Hu:
Optimized Scalable Video Streaming over IEEE 802.11a/e HCCA Wireless Networks under Delay Constraints. IEEE Trans. Mob. Comput. 5(6): 755-768 (2006) - [j21]Mihaela van der Schaar, Deepak S. Turaga, Raymond Wong:
Classification-Based System For Cross-Layer Optimized Wireless Video Transmission. IEEE Trans. Multim. 8(5): 1082-1095 (2006) - [j20]Yiannis Andreopoulos, Ram Keralapura, Mihaela van der Schaar, Chen-Nee Chuah:
Failure-Aware, Open-Loop, Adaptive Video Streaming With Packet-Level Optimized Redundancy. IEEE Trans. Multim. 8(6): 1274-1290 (2006) - [j19]Mingshi Wang, Mihaela van der Schaar:
Operational rate-distortion modeling for wavelet video coders. IEEE Trans. Signal Process. 54(9): 3505-3517 (2006) - [c61]Yiannis Andreopoulos, Mihaela van der Schaar, Zhiping Hu, S. Heo, S. Suh:
Scalable Resource Management for Video Streaming Over IEEE802.11A/E. ICASSP (5) 2006: 361-364 - [c60]Nicholas Mastronarde, Yiannis Andreopoulos, Mihaela van der Schaar, Dilip Krishnaswamy, John B. Vicente:
Cross-layer Video Streaming Over 802.11e-Enabled Wireless Mesh Networks. ICASSP (5) 2006: 433-436 - [c59]Nicholas Mastronarde, Deepak S. Turaga, Mihaela van der Schaar:
Collaborative Resource Management for Video Over Wireless Multi-Hop Mesh Networks. ICIP 2006: 1297-1300 - [c58]Fangwen Fu, Ahmad Reza Fattahi, Mihaela van der Schaar:
Game-Theoretic Paradigm for Resource Management in Spectrum Agile Wireless Networks. ICME 2006: 873-876 - [c57]Hsien-Po Shiang, Mihaela van der Schaar:
Multi-user Video Streaming over Multi-hop Wireless Networks: A Cross-Layer Priority Queuing Scheme. IIH-MSP 2006: 255-258 - [c56]Maria Trocan, Christophe Tillier, Béatrice Pesquet-Popescu, Mihaela van der Schaar:
A 5-band Temporal Lifting Scheme for Video Surveillance. MMSP 2006: 278-281 - 2005
- [j18]Deepak S. Turaga, Mihaela van der Schaar, Yiannis Andreopoulos, Adrian Munteanu, Peter Schelkens:
Unconstrained motion compensated temporal filtering (UMCTF) for efficient and flexible interframe wavelet video coding. Signal Process. Image Commun. 20(1): 1-19 (2005) - [j17]Christophe Tillier, Béatrice Pesquet-Popescu, Mihaela van der Schaar:
Improved update operators for lifting-based motion-compensated temporal filtering. IEEE Signal Process. Lett. 12(2): 146-149 (2005) - [j16]Deepak S. Turaga, Mihaela van der Schaar, Béatrice Pesquet-Popescu:
Complexity scalable motion compensated wavelet video encoding. IEEE Trans. Circuits Syst. Video Technol. 15(8): 982-993 (2005) - [j15]Yong Wang, Mihaela van der Schaar, Shih-Fu Chang, Alexander C. Loui:
Classification-based multidimensional adaptation prediction for scalable video coding using subjective quality evaluation. IEEE Trans. Circuits Syst. Video Technol. 15(10): 1270-1279 (2005) - [j14]Mihaela van der Schaar, Yiannis Andreopoulos:
Rate-distortion-complexity modeling for network and receiver aware adaptation. IEEE Trans. Multim. 7(3): 471-479 (2005) - [j13]Mihaela van der Schaar, Sai Shankar Nandagopalan:
Cross-layer wireless multimedia transmission: challenges, principles, and new paradigms. IEEE Wirel. Commun. 12(4): 50-58 (2005) - [c55]Liping Guo, Mihaela van der Schaar, Debargha Mukherjee:
A layered complexity-aware scalable video encryption scheme. Electronic Imaging: Image and Video Communications and Processing 2005 - [c54]Gouri Landge, Mihaela van der Schaar, Venkatesh Akella:
Generic modeling of complexity for motion-compensated wavelet video decoders. Electronic Imaging: Image and Video Communications and Processing 2005 - [c53]Karl Wittig, Yingwei Chen, Mihaela van der Schaar:
Combined data partitioning and fine granularity scalability for channel adaptive video transmission. Electronic Imaging: Image and Video Communications and Processing 2005 - [c52]Mingshi Wang, Mihaela van der Schaar:
Rate-Distortion Modeling for Wavelet Video Coders. ICASSP (2) 2005: 53-56 - [c51]Ritesh Sood, Mihaela van der Schaar:
Optimal Upload Policies for P2P Networks with System Imposed Constraints. ICASSP (2) 2005: 281-284 - [c50]Anna Scaglione, Mihaela van der Schaar:
Cross-layer resource allocation for delay constrained wireless video transmission. ICASSP (5) 2005: 909-912 - [c49]Gouri Landge, Mihaela van der Schaar, Venkatesh Akella:
Complexity metric driven energy optimization framework for implementing MPEG-21 scalable video decoders. ICASSP (2) 2005: 1141-1144 - [c48]Raymond Wong, Sai Shankar Nandagopalan, Mihaela van der Schaar:
Integrated application MAC modeling for cross-layer optimized wireless video. ICC 2005: 1271-1275 - [c47]Mihaela van der Schaar, Sai Shankar N.:
New fairness paradigms for wireless multimedia communication. ICIP (3) 2005: 704-707 - [c46]Deepak S. Turaga, Mihaela van der Schaar:
Cross-layer aware packetization strategies for optimized wireless multimedia transmission. ICIP (1) 2005: 777-780 - [c45]Debargha Mukherjee, Mihaela van der Schaar:
Compact dependent key generation methods for encryption-based subscription differentiation for scalable bit-streams. ICIP (2) 2005: 1114-1117 - [c44]Venkatesh Akella, Mihaela van der Schaar, Wen-Fu Kao:
Proactive Energy Optimization Algorithms for Wavelet-Based Video Codecs on Power-Aware Processors. ICME 2005: 566-569 - [c43]Deepak S. Turaga, Mihaela van der Schaar, Krishna Ratakonda:
Enterprise multimedia streaming: issues, background and new developments. ICME 2005: 956-961 - [c42]Raymond S. Wong, Mihaela van der Schaar, Deepak S. Turaga:
Optimized wireless video transmission using classification. ICME 2005: 992-995 - [c41]Mihaela van der Schaar, A. Murat Tekalp:
Integrated multi-objective cross-layer optimization for wireless multimedia transmission. ISCAS (4) 2005: 3543-3546 - 2004
- [j12]Zixiang Xiong, Mihaela van der Schaar, Jie Chen, Eckehard G. Steinbach, C.-C. Jay Kuo, Ming-Ting Sun:
Editorial. EURASIP J. Adv. Signal Process. 2004(2): 155-157 (2004) - [j11]Hayder Radha, Mihaela van der Schaar, Shirish Karande:
Scalable Video Transcaling for the Wireless Internet. EURASIP J. Adv. Signal Process. 2004(2): 265-279 (2004) - [j10]Yiannis Andreopoulos, Adrian Munteanu, Joeri Barbarien, Mihaela van der Schaar, Jan Cornelis, Peter Schelkens:
In-band motion compensated temporal filtering. Signal Process. Image Commun. 19(7): 653-673 (2004) - [j9]Jens-Rainer Ohm, Mihaela van der Schaar, John W. Woods:
Interframe wavelet coding - motion picture representation for universal scalability. Signal Process. Image Commun. 19(9): 877-908 (2004) - [j8]Qiong Li, Mihaela van der Schaar:
Providing adaptive QoS to layered video over wireless local area networks through real-time retry limit adaptation. IEEE Trans. Multim. 6(2): 278-290 (2004) - [c40]Zhiping Hu, Mihaela van der Schaar, Béatrice Pesquet-Popescu:
Scalable motion vector coding for MC-EZBC. EUSIPCO 2004: 657-660 - [c39]Christophe Tillier, Béatrice Pesquet-Popescu, Mihaela van der Schaar:
Multiple descriptions scalable video coding. EUSIPCO 2004: 893-896 - [c38]Mihaela van der Schaar, Yiannis Andreopoulos, Qiong Li:
Real-time ubiquitous multimedia streaming using rate-distortion-complexity models. GLOBECOM 2004: 639-643 - [c37]Christophe Tillier, Béatrice Pesquet-Popescu, Mihaela van der Schaar:
Highly scalable video coding by bidirectional predict-update 3-band schemes. ICASSP (3) 2004: 125-128 - [c36]Xiaofeng Xu, Mihaela van der Schaar, Santhana Krishnamachari, Sunghyun Choi, Yao Wang:
Fine-granular-scalability video streaming over wireless LANs using cross layer error control. ICASSP (5) 2004: 989-992 - [c35]Qiong Li, Mihaela van der Schaar:
Error protection of video over wireless local area networks through real-time retry limit adaptation. ICASSP (5) 2004: 993-996 - [c34]Haitong Sun, Mihaela van der Schaar, Zhi Ding:
Joint data compression and error protection for collaborative transmission. ICIP 2004: 533-536 - [c33]Christophe Tillier, Béatrice Pesquet-Popescu, Mihaela van der Schaar:
Weighted average spatio-temporal update operator for subband video coding. ICIP 2004: 1305-1308 - [c32]Mihaela van der Schaar, Deepak S. Turaga, Venkatesh Akella:
Rate-distortion-complexity adaptive video compression and streaming. ICIP 2004: 2051-2054 - [c31]Dilip Krishnaswamy, Mihaela van der Schaar:
Adaptive modulated scalable video transmission over wireless networks with a game theoretic approach. MMSP 2004: 107-110 - [c30]Danny Hong, Mihaela van der Schaar, Béatrice Pesquet-Popescu:
Arithmetic coding with adaptive context-tree weighting for the H.264 video coders. VCIP 2004 - [c29]Rahul Khanna, Mihaela van der Schaar:
Reduced complexity genetic algorithm for motion estimation. VCIP 2004 - [c28]Yong Wang, Tian-Tsong Ng, Mihaela van der Schaar, Shih-Fu Chang:
Predicting optimal operation of MC-3DSBC multidimensional scalable video coding using subjective quality measurement. VCIP 2004 - 2003
- [j7]Mihaela van der Schaar, Santhana Krishnamachari, Sunghyun Choi, Xiaofeng Xu:
Adaptive cross-layer protection strategies for robust scalable video transmission over 802.11 WLANs. IEEE J. Sel. Areas Commun. 21(10): 1752-1763 (2003) - [c27]Mihaela van der Schaar, Deepak S. Turaga:
Unconstrained motion compensated temporal filtering (UMCTF) framework for wavelet video coding. ICASSP (3) 2003: 81-84 - [c26]Yiannis Andreopoulos, Mihaela van der Schaar, Adrian Munteanu, Joeri Barbarien, Peter Schelkens, Jan Cornelis:
Fully-scalable wavelet video coding using in-band motion compensated temporal filtering. ICASSP (3) 2003: 417-420 - [c25]Deepak S. Turaga, Mihaela van der Schaar:
Content-adaptive filtering in the UMCTF framework. ICASSP (3) 2003: 621-624 - [c24]Deepak S. Turaga, Mihaela van der Schaar, Béatrice Pesquet-Popescu:
Temporal prediction and differential coding of motion vectors in the MCTF framework. ICIP (2) 2003: 57-60 - [c23]Adrian Munteanu, Yiannis Andreopoulos, Mihaela van der Schaar, Peter Schelkens, Jan Cornelis:
Control of the distortion variation in video coding systems based on motion compensated temporal filtering. ICIP (2) 2003: 61-64 - [c22]Deepak S. Turaga, Mihaela van der Schaar:
Multiple description scalable coding using wavelet-based motion compensated temporal filtering. ICIP (3) 2003: 489-492 - [c21]Yiannis Andreopoulos, Mihaela van der Schaar, Adrian Munteanu, Peter Schelkens, Jan Cornelis:
Spatio-temporal-SNR scalable wavelet coding with motion-compensated DCT base-layer architectures. ICIP (2) 2003: 795-798 - [c20]Deepak S. Turaga, Mihaela van der Schaar:
Reduced complexity spatio-temporal scalable motion compensated wavelet video encoding. ICME 2003: 561-564 - [c19]Mihaela van der Schaar, Deepak S. Turaga:
Unconstrained motion compensated temporal filtering (UMCTF) framework for wavelet video coding. ICME 2003: 581-584 - [c18]Xiaofeng Xu, Mihaela van der Schaar, Santhana Krishnamachari, Sunghyun Choi, Yao Wang:
Adaptive error control for fine-granular-scalability video coding over IEEE 802.11 wireless LANs. ICME 2003: 669-672 - [c17]Deepak S. Turaga, Mihaela van der Schaar:
Content-adaptive filtering in the UMCTF framework. ICME 2003: 821-824 - [c16]Mihaela van der Schaar, Jong C. Ye, Hayder Radha:
Adaptive overcomplete wavelet video coding with spatial transcaling. VCIP 2003: 489-500 - [c15]Yiannis Andreopoulos, Mihaela van der Schaar, Adrian Munteanu, Joeri Barbarien, Peter Schelkens, Jan Cornelis:
Complete-to-overcomplete discrete wavelet transforms for scalable video coding with MCTF. VCIP 2003: 719-731 - [c14]Jong C. Ye, Mihaela van der Schaar:
Fully scalable 3D overcomplete wavelet video coding using adaptive motion compensated temporal filtering. VCIP 2003: 1169-1180 - 2002
- [j6]Mihaela van der Schaar, Hayder Radha:
Adaptive motion-compensation fine-granular-scalability (AMC-FGS) for wireless video. IEEE Trans. Circuits Syst. Video Technol. 12(6): 360-371 (2002) - [c13]Sharon S. Peng, Mihaela van der Schaar:
Scene-dependent frequency weighting for subjective quality improvement of MPEG-4 fine-granularity-scalability. ICIP (3) 2002: 697-700 - [c12]Mihaela van der Schaar, Joseph Meehan:
Robust transmission of MPEG-4 scalable video over 4G wireless networks. ICIP (3) 2002: 757-760 - [c11]Richard Chen, Mihaela van der Schaar:
Resource-driven MPEG-4 FGS for universal multimedia access. ICME (1) 2002: 421-424 - [c10]Raj Kumar Rajendran, Mihaela van der Schaar, Shih-Fu Chang:
FGS+: optimizing the joint SNR-temporal video quality in MPEG-4 fine grained scalable coding. ISCAS (1) 2002: 445-448 - [c9]Mihaela van der Schaar, Joseph Meehan:
Fine-granularity-scalability for wireless video and scalable storage. VCIP 2002: 805-816 - [c8]Sharon S. Peng, Mihaela van der Schaar:
Adaptive frequency weighting for fine-granularity-scalability. VCIP 2002: 840-849 - 2001
- [j5]Mihaela van der Schaar, Hayder Radha:
A hybrid temporal-SNR fine-granular scalability for Internet video. IEEE Trans. Circuits Syst. Video Technol. 11(3): 318-331 (2001) - [j4]Hayder Radha, Mihaela van der Schaar, Yingwei Chen:
The MPEG-4 fine-grained scalable video coding method for multimedia streaming over IP. IEEE Trans. Multim. 3(1): 53-68 (2001) - [j3]Mihaela van der Schaar, Hayder Radha:
Unequal packet loss resilience for fine-granular-scalability video. IEEE Trans. Multim. 3(4): 381-394 (2001) - [c7]Mihaela van der Schaar, Y.-T. Lin:
Content-based selective enhancement for streaming video. ICIP (2) 2001: 977-980 - [c6]Hayder Radha, Mihaela van der Schaar:
Temporal-SNR rate-control for Fine-Granular Scalability. ICIP (2) 2001: 1037-1040 - [c5]Mihaela van der Schaar, Hayder Radha:
Motion-compensation fine-granular-scalability (MC-FGS) for wireless multimedia. MMSP 2001: 453-458 - [c4]Mihaela van der Schaar, Hayder Radha:
Fine-grained loss protection for robust Internet video streaming. VCIP 2001: 533-544 - 2000
- [j2]Mihaela van der Schaar, Peter H. N. de With:
Near-lossless complexity-scalable embedded compression algorithm for cost reduction in DTV receivers. IEEE Trans. Consumer Electron. 46(4): 923-933 (2000) - [j1]Mihaela van der Schaar-Mitrea, Peter H. N. de With:
Hybrid compression of video with graphics in DTV communication systems. IEEE Trans. Consumer Electron. 46(4): 1007-1017 (2000) - [c3]Mihaela van der Schaar, Hayder Radha:
Packet-Loss Resilient Internet Video Using MPEG-4 Fine Granular Scalability. ICIP 2000: 372-375 - [c2]Mihaela van der Schaar, Hayder Radha:
A Novel MPEG-4 Based Hybrid Temporal-SNR Scalability for Internet Video. ICIP 2000: 548-551 - [c1]Mihaela van der Schaar, Hayder Radha, C. Dufour:
Scalable MPEG-4 Video Coding with Graceful Packet-Loss Resilience over Bandwidth-Varying Networks. IEEE International Conference on Multimedia and Expo (III) 2000: 1487-1490
Coauthor Index
[i217] [c338] [j250] [j249] [j248] [c321] [c318] [c312] [c304] [i184] [i179] [c289] [c287] [c285] [c284] [c283] [c282] [c271] [i161] [i157] [i154] [i150] [i146] [i143] [i141] [c265] [c259] [c253] [c252] [i137] [i135] [j222] [j219] [j218] [j216] [c242] [c241] [i129] [i120] [c234] [c230] [i112] [i111] [i109] [i108] [i106] [i104] [j195] [c221] [c218] [i103] [i100] [i96] [i95] [i94] [i93] [i92] [j175] [i88] [i84] [i79]
Alex J. Chan
aka: Alex James Chan
aka: Alex James Chan
[j263] [c396] [c395] [c389] [i282] [i281] [i273] [i270] [j259] [c375] [c373] [c368] [c367] [c365] [c361] [c360] [c351] [c350] [c348] [i256] [i251] [i250] [i245] [i240] [i239] [i235] [i225] [i224] [j255] [c339] [c336] [c332] [i205] [i202] [i200] [i188] [j249] [c314] [c312] [c305] [c303] [c302] [c299] [i181] [i175] [i165] [c289] [c282] [c271] [i161] [i154] [i146] [i141]
[j257] [j252] [c315] [i168] [j221] [j220] [j217] [j215] [j214] [j212] [j211] [j205] [c233] [i110] [j201] [j198] [j193] [j188] [c227] [c225] [i97] [j181] [j178] [j171] [j170] [j168] [j163] [j162] [c216] [c212] [c210] [c209] [i90] [i89] [i87] [i83] [i78] [j157] [c201] [c200] [c191] [c188] [c178] [i72] [i71] [i68] [c173] [c169] [i64] [i62] [i61] [i57]
[j243] [j225] [j183] [j182] [j172] [j161] [c214] [c213] [i86] [j159] [j158] [j154] [j150] [j142] [c202] [c196] [c194] [c190] [c185] [i76] [i75] [i69] [i67] [j135] [j134] [c176] [c175] [c172] [c171] [c170] [c164] [c160] [i59] [i56] [i55] [i53] [i52] [j123] [j119] [j117] [c146] [c144] [i50] [i48] [i46] [i45] [c125] [c119] [i39] [i33] [i22]
[j246] [i187] [j208] [c235] [j202] [j200] [j197] [j196] [j194] [j190] [j189] [c220] [j187] [j186] [j185] [j184] [j180] [j179] [j163] [c217] [c207] [c205] [i82] [i77] [j160] [j159] [j156] [j153] [c199] [c193] [c192] [c187] [c182] [i76] [i74] [j138] [j136] [c173] [c166] [c163] [c162] [c157] [i63] [i58] [j122] [c147] [c143] [c139] [c133] [i51] [i47] [i35]
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