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Volume 206: International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain
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Editors: Francisco Ruiz, Jennifer Dy, Jan-Willem van de Meent
Notable Papers
Blessing of Class Diversity in Pre-training
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:283-305
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BaCaDI: Bayesian Causal Discovery with Unknown Interventions
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1411-1436
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Discovering Many Diverse Solutions with Bayesian Optimization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1779-1798
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Multilevel Bayesian Quadrature
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1845-1868
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Distance-to-Set Priors and Constrained Bayesian Inference
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2310-2326
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Error Estimation for Random Fourier Features
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2348-2364
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Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3125-3150
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Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3977-4005
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A Tale of Sampling and Estimation in Discounted Reinforcement Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4575-4601
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An Efficient and Continuous Voronoi Density Estimator
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4732-4744
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Safe Sequential Testing and Effect Estimation in Stratified Count Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4880-4893
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Particle algorithms for maximum likelihood training of latent variable models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5134-5180
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Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5213-5230
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Implications of sparsity and high triangle density for graph representation learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5449-5473
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The Schrödinger Bridge between Gaussian Measures has a Closed Form
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5802-5833
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Federated Learning under Distributed Concept Drift
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5834-5853
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Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6388-6421
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Indeterminacy in Generative Models: Characterization and Strong Identifiability
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6912-6939
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Do Bayesian Neural Networks Need To Be Fully Stochastic?
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7694-7722
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Mode-Seeking Divergences: Theory and Applications to GANs
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8321-8350
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Fix-A-Step: Semi-supervised Learning From Uncurated Unlabeled Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8373-8394
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Rethinking Initialization of the Sinkhorn Algorithm
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8682-8698
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Don’t be fooled: label leakage in explanation methods and the importance of their quantitative evaluation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8925-8953
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Origins of Low-Dimensional Adversarial Perturbations
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9221-9237
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Scalable Bicriteria Algorithms for Non-Monotone Submodular Cover
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9517-9537
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Huber-robust confidence sequences
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9662-9679
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Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9976-10011
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Who Should Predict? Exact Algorithms For Learning to Defer to Humans
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10520-10545
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Implicit Graphon Neural Representation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10619-10634
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Fitting low-rank models on egocentrically sampled partial networks
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10635-10649
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The Power of Recursion in Graph Neural Networks for Counting Substructures
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11023-11042
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Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11608-11629
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Regular Papers
Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1-10
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Meta-Uncertainty in Bayesian Model Comparison
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11-29
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PAC Learning of Halfspaces with Malicious Noise in Nearly Linear Time
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:30-46
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Entropic Risk Optimization in Discounted MDPs
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:47-76
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Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:77-100
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An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:101-156
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Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:157-171
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Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:172-235
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Scalable marked point processes for exchangeable and non-exchangeable event sequences
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:236-252
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Bayesian Variable Selection in a Million Dimensions
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:253-282
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Barlow Graph Auto-Encoder for Unsupervised Network Embedding
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:306-322
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Gradient-Informed Neural Network Statistical Robustness Estimation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:323-334
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Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:335-358
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A Case of Exponential Convergence Rates for SVM
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:359-374
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Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:375-407
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Adaptive Cholesky Gaussian Processes
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:408-452
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Sample Complexity of Kernel-Based Q-Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:453-469
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A principled framework for the design and analysis of token algorithms
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:470-489
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Learning k-qubit Quantum Operators via Pauli Decomposition
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:490-504
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Semi-Verified PAC Learning from the Crowd
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:505-522
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On the Capacity Limits of Privileged ERM
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:523-534
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USIM Gate: UpSampling Module for Segmenting Precise Boundaries concerning Entropy
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:535-562
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Bayesian Structure Scores for Probabilistic Circuits
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:563-575
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Langevin Diffusion Variational Inference
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:576-593
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Overcoming Prior Misspecification in Online Learning to Rank
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:594-614
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Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:615-649
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Kernel Conditional Moment Constraints for Confounding Robust Inference
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:650-674
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Meta-learning for Robust Anomaly Detection
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:675-691
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Learning in RKHM: a C*-Algebraic Twist for Kernel Machines
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:692-708
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From Shapley Values to Generalized Additive Models and back
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:709-745
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Estimating Conditional Average Treatment Effects with Missing Treatment Information
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:746-766
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Global Convergence of Over-parameterized Deep Equilibrium Models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:767-787
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A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:788-836
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Adversarial De-confounding in Individualised Treatment Effects Estimation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:837-849
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Fast Distributed k-Means with a Small Number of Rounds
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:850-874
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A New Causal Decomposition Paradigm towards Health Equity
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:875-890
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Matching Map Recovery with an Unknown Number of Outliers
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:891-906
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Characterizing Internal Evasion Attacks in Federated Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:907-921
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Optimal and Private Learning from Human Response Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:922-958
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Bayesian Optimization with Conformal Prediction Sets
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:959-986
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Alternating Projected SGD for Equality-constrained Bilevel Optimization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:987-1023
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Improved Robust Algorithms for Learning with Discriminative Feature Feedback
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1024-1036
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Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1037-1054
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Can 5th Generation Local Training Methods Support Client Sampling? Yes!
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1055-1092
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qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1093-1114
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Bayesian Hierarchical Models for Counterfactual Estimation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1115-1128
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Sequential Gradient Descent and Quasi-Newton’s Method for Change-Point Analysis
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1129-1143
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Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1144-1173
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Compress Then Test: Powerful Kernel Testing in Near-linear Time
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1174-1218
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Select and Optimize: Learning to solve large-scale TSP instances
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1219-1231
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Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1232-1300
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Testing of Horn Samplers
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1301-1330
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Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1331-1378
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Positional Encoder Graph Neural Networks for Geographic Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1379-1389
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Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1390-1410
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Statistical Analysis of Karcher Means for Random Restricted PSD Matrices
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1437-1456
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Differentially Private Synthetic Control
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1457-1491
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Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1492-1512
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On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1513-1553
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Riemannian Accelerated Gradient Methods via Extrapolation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1554-1585
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Flexible risk design using bi-directional dispersion
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1586-1623
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Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1624-1645
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Deep equilibrium models as estimators for continuous latent variables
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1646-1671
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Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1672-1702
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A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1703-1718
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A Constant-Factor Approximation Algorithm for Reconciliation $k$-Median
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1719-1746
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Neural Laplace Control for Continuous-time Delayed Systems
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1747-1778
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BlitzMask: Real-Time Instance Segmentation Approach for Mobile Devices
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1799-1811
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Exact Gradient Computation for Spiking Neural Networks via Forward Propagation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1812-1831
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Uni6Dv2: Noise Elimination for 6D Pose Estimation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1832-1844
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Direct Inference of Effect of Treatment (DIET) for a Cookieless World
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1869-1887
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The Ordered Matrix Dirichlet for State-Space Models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1888-1903
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Energy-Based Models for Functional Data using Path Measure Tilting
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1904-1923
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Frequentist Uncertainty Quantification in Semi-Structured Neural Networks
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1924-1941
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NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1942-1964
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One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:1965-2001
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Variational Inference for Neyman-Scott Processes
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2002-2018
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Graph Alignment Kernels using Weisfeiler and Leman Hierarchies
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2019-2034
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Geometric Random Walk Graph Neural Networks via Implicit Layers
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2035-2053
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Model-X Sequential Testing for Conditional Independence via Testing by Betting
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2054-2086
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Mixed-Effect Thompson Sampling
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2087-2115
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Mixed Linear Regression via Approximate Message Passing
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2116-2131
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EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2132-2146
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Estimating Total Correlation with Mutual Information Estimators
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2147-2164
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Vector Optimization with Stochastic Bandit Feedback
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2165-2190
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Knowledge Acquisition for Human-In-The-Loop Image Captioning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2191-2206
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A Statistical Analysis of Polyak-Ruppert Averaged Q-Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2207-2261
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Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2262-2284
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“Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2285-2309
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Fast Computation of Branching Process Transition Probabilities via ADMM
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2327-2347
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AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2365-2389
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Classification of Adolescents’ Risky Behavior in Instant Messaging Conversations
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2390-2404
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Robust Linear Regression for General Feature Distribution
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2405-2435
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Fair learning with Wasserstein barycenters for non-decomposable performance measures
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2436-2459
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Deep Neural Networks with Efficient Guaranteed Invariances
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2460-2480
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Fast Block Coordinate Descent for Non-Convex Group Regularizations
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2481-2493
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AUC-based Selective Classification
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2494-2514
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Nonparametric Indirect Active Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2515-2541
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Resolving the Approximability of Offline and Online Non-monotone DR-Submodular Maximization over General Convex Sets
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2542-2564
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{PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2565-2588
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Learning Constrained Structured Spaces with Application to Multi-Graph Matching
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2589-2602
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On the Strategyproofness of the Geometric Median
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2603-2640
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Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2641-2660
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EGG-GAE: scalable graph neural networks for tabular data imputation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2661-2676
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Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2677-2703
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Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2704-2722
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Improved Rate of First Order Algorithms for Entropic Optimal Transport
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2723-2750
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Conformal Off-Policy Prediction
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2751-2768
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Sparse Spectral Bayesian Permanental Process with Generalized Kernel
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2769-2791
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Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2792-2804
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Nearly Optimal Latent State Decoding in Block MDPs
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2805-2904
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On the Limitations of the Elo, Real-World Games are Transitive, not Additive
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2905-2921
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Agnostic PAC Learning of $k$-juntas Using $L_2$-Polynomial Regression
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2922-2938
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Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2939-2959
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Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2960-2974
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Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2975-2993
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Clustering above Exponential Families with Tempered Exponential Measures
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:2994-3017
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Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3018-3033
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Learning Physics-Informed Neural Networks without Stacked Back-propagation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3034-3047
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An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3048-3085
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Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3086-3097
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Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3098-3124
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Byzantine-Robust Federated Learning with Optimal Statistical Rates
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3151-3178
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An Unpooling Layer for Graph Generation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3179-3209
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Online Learning for Traffic Routing under Unknown Preferences
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3210-3229
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Byzantine-Robust Online and Offline Distributed Reinforcement Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3230-3269
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No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3270-3298
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Mode-constrained Model-based Reinforcement Learning via Gaussian Processes
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3299-3314
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Generative Oversampling for Imbalanced Data via Majority-Guided VAE
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3315-3330
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The Lie-Group Bayesian Learning Rule
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3331-3352
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Singular Value Representation: A New Graph Perspective On Neural Networks
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3353-3369
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A Finite Sample Complexity Bound for Distributionally Robust Q-learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3370-3398
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Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3399-3426
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A Bregman Divergence View on the Difference-of-Convex Algorithm
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3427-3439
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Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3440-3465
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T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3466-3492
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Membership Inference Attacks against Synthetic Data through Overfitting Detection
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3493-3514
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Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3515-3537
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Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3538-3567
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To Impute or not to Impute? Missing Data in Treatment Effect Estimation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3568-3590
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No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3591-3619
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Noise-Aware Statistical Inference with Differentially Private Synthetic Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3620-3643
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ASkewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3644-3663
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Transport Elliptical Slice Sampling
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3664-3676
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Towards Balanced Representation Learning for Credit Policy Evaluation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3677-3692
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Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3693-3717
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MARS: Masked Automatic Ranks Selection in Tensor Decompositions
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3718-3732
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Learning from Multiple Sources for Data-to-Text and Text-to-Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3733-3753
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Sparse Bayesian optimization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3754-3774
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On the bias of K-fold cross validation with stable learners
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3775-3794
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Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3795-3824
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Sample Efficiency of Data Augmentation Consistency Regularization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3825-3853
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ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3854-3878
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Deep Joint Source-Channel Coding with Iterative Source Error Correction
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3879-3902
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On-Demand Communication for Asynchronous Multi-Agent Bandits
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3903-3930
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The ELBO of Variational Autoencoders Converges to a Sum of Entropies
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3931-3960
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Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:3961-3976
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Provably Efficient Reinforcement Learning via Surprise Bound
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4006-4032
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FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4033-4057
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Sampling From a Schrödinger Bridge
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4058-4067
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A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4068-4088
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Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4089-4100
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Active Learning for Single Neuron Models with Lipschitz Non-Linearities
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4101-4113
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Exploration in Reward Machines with Low Regret
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4114-4146
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On Universal Portfolios with Continuous Side Information
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4147-4163
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Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4164-4180
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The Lauritzen-Chen Likelihood For Graphical Models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4181-4195
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Bayesian Strategy-Proof Facility Location via Robust Estimation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4196-4208
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Unsupervised representation learning with recognition-parametrised probabilistic models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4209-4230
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Universal Agent Mixtures and the Geometry of Intelligence
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4231-4246
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The communication cost of security and privacy in federated frequency estimation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4247-4274
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Learning While Scheduling in Multi-Server Systems With Unknown Statistics: MaxWeight with Discounted UCB
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4275-4312
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Piecewise Stationary Bandits under Risk Criteria
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4313-4335
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Does Label Differential Privacy Prevent Label Inference Attacks?
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4336-4347
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Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4348-4380
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Conjugate Gradient Method for Generative Adversarial Networks
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4381-4408
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Subset verification and search algorithms for causal DAGs
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4409-4442
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Distributed Offline Policy Optimization Over Batch Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4443-4472
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Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4473-4485
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Learning Sparse Graphon Mean Field Games
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4486-4514
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Temporal Graph Neural Networks for Irregular Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4515-4531
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Oblivious near-optimal sampling for multidimensional signals with Fourier constraints
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4532-4555
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Isotropic Gaussian Processes on Finite Spaces of Graphs
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4556-4574
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Mean Parity Fair Regression in RKHS
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4602-4628
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A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4629-4642
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Nyström Method for Accurate and Scalable Implicit Differentiation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4643-4654
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Fair Representation Learning with Unreliable Labels
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4655-4667
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Neural Discovery of Permutation Subgroups
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4668-4678
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Feasible Recourse Plan via Diverse Interpolation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4679-4698
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Computing Abductive Explanations for Boosted Trees
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4699-4711
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A Statistical Learning Take on the Concordance Index for Survival Analysis
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4712-4731
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Equivariant Representation Learning via Class-Pose Decomposition
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4745-4756
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Approximating a RUM from Distributions on $k$-Slates
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4757-4767
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Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4768-4801
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Coordinate Descent for SLOPE
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4802-4821
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Multi-task Representation Learning with Stochastic Linear Bandits
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4822-4847
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A Sea of Words: An In-Depth Analysis of Anchors for Text Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4848-4879
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High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4894-4916
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On Generalization of Decentralized Learning with Separable Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4917-4945
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Neural Simulated Annealing
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4946-4962
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Adaptation to Misspecified Kernel Regularity in Kernelised Bandits
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4963-4985
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Gaussian Processes on Distributions based on Regularized Optimal Transport
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:4986-5010
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Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5011-5035
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Bounding Evidence and Estimating Log-Likelihood in VAE
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5036-5051
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Privacy-preserving Sparse Generalized Eigenvalue Problem
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5052-5062
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Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5063-5078
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Manifold Restricted Interventional Shapley Values
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5079-5106
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A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5107-5133
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Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5181-5212
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Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5231-5249
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Efficient fair PCA for fair representation learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5250-5270
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Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5271-5298
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Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5299-5356
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Adversarial Random Forests for Density Estimation and Generative Modeling
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5357-5375
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Smoothly Giving up: Robustness for Simple Models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5376-5410
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A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5411-5437
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Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5438-5448
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Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5474-5492
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Is interpolation benign for random forest regression?
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5493-5548
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TabLLM: Few-shot Classification of Tabular Data with Large Language Models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5549-5581
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A Faster Sampler for Discrete Determinantal Point Processes
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5582-5592
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Faithful Heteroscedastic Regression with Neural Networks
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5593-5613
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Boosted Off-Policy Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5614-5640
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Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5641-5685
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A Contrastive Approach to Online Change Point Detection
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5686-5713
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Active Membership Inference Attack under Local Differential Privacy in Federated Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5714-5730
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Differentially Private Matrix Completion through Low-rank Matrix Factorization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5731-5748
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Private Non-Convex Federated Learning Without a Trusted Server
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5749-5786
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Variational Boosted Soft Trees
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5787-5801
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Cooperative Inverse Decision Theory for Uncertain Preferences
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5854-5868
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Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5869-5898
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Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5899-5917
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Heavy Sets with Applications to Interpretable Machine Learning Diagnostics
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5918-5930
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Stochastic Mirror Descent for Large-Scale Sparse Recovery
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5931-5957
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High Probability Bounds for Stochastic Continuous Submodular Maximization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5958-5979
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Average Adjusted Association: Efficient Estimation with High Dimensional Confounders
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5980-5996
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Reinforcement Learning for Adaptive Mesh Refinement
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:5997-6014
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Risk Bounds on Aleatoric Uncertainty Recovery
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6015-6036
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Robust and Agnostic Learning of Conditional Distributional Treatment Effects
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6037-6060
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Optimism and Delays in Episodic Reinforcement Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6061-6094
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Delayed Feedback in Generalised Linear Bandits Revisited
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6095-6119
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Stochastic Tree Ensembles for Estimating Heterogeneous Effects
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6120-6131
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Minimax Nonparametric Two-Sample Test under Adversarial Losses
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6132-6165
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Dimensionality Collapse: Optimal Measurement Selection for Low-Error Infinite-Horizon Forecasting
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6166-6198
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Distill n’ Explain: explaining graph neural networks using simple surrogates
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6199-6214
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Nonstationary Bandit Learning via Predictive Sampling
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6215-6244
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Continuous-Time Decision Transformer for Healthcare Applications
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6245-6262
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Dueling RL: Reinforcement Learning with Trajectory Preferences
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6263-6289
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Discrete Langevin Samplers via Wasserstein Gradient Flow
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6290-6313
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Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6314-6341
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Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6342-6370
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NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6371-6387
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Revisiting Fair-PAC Learning and the Axioms of Cardinal Welfare
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6422-6442
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Distributionally Robust Policy Gradient for Offline Contextual Bandits
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6443-6462
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A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6463-6497
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LOFT: Finding Lottery Tickets through Filter-wise Training
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6498-6526
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Provably Efficient Model-Free Algorithms for Non-stationary CMDPs
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6527-6570
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Precision Recall Cover: A Method For Assessing Generative Models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6571-6594
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Reconstructing Training Data from Model Gradient, Provably
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6595-6612
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Scalable Spectral Clustering with Group Fairness Constraints
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6613-6629
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Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6630-6660
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Learning with Partial Forgetting in Modern Hopfield Networks
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6661-6673
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Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6674-6703
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Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6704-6721
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Uncertainty-aware Unsupervised Video Hashing
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6722-6740
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Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6741-6763
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Structure of Nonlinear Node Embeddings in Stochastic Block Models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6764-6782
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On Model Selection Consistency of Lasso for High-Dimensional Ising Models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6783-6805
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Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6806-6821
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INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6822-6838
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Transport Reversible Jump Proposals
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6839-6852
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Convex Bounds on the Softmax Function with Applications to Robustness Verification
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6853-6878
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Strong Lottery Ticket Hypothesis with $\varepsilon$–perturbation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6879-6902
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Two-Sample Tests for Inhomogeneous Random Graphs in $L_r$ Norm: Optimality and Asymptotics
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6903-6911
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Differentiable Change-point Detection With Temporal Point Processes
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6940-6955
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Recurrent Neural Networks and Universal Approximation of Bayesian Filters
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6956-6967
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Thresholded linear bandits
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:6968-7020
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Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7021-7039
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Unifying local and global model explanations by functional decomposition of low dimensional structures
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7040-7060
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SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7061-7088
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On double-descent in uncertainty quantification in overparametrized models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7089-7125
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Learning Treatment Effects from Observational and Experimental Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7126-7146
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On the Accelerated Noise-Tolerant Power Method
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7147-7175
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Clustering High-dimensional Data with Ordered Weighted $\ell_1$ Regularization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7176-7189
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Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7190-7212
[abs][Download PDF][Software]
Faster Projection-Free Augmented Lagrangian Methods via Weak Proximal Oracle
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7213-7238
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Meta-Learning with Adjoint Methods
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7239-7251
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Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7252-7264
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Explicit Regularization in Overparametrized Models via Noise Injection
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7265-7287
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Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7288-7310
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An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7311-7330
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Prediction-Oriented Bayesian Active Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7331-7348
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Active Exploration via Experiment Design in Markov Chains
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7349-7374
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But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7375-7391
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Identification of Blackwell Optimal Policies for Deterministic MDPs
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7392-7424
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Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7425-7454
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Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7455-7471
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Protecting Global Properties of Datasets with Distribution Privacy Mechanisms
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7472-7491
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Incremental Aggregated Riemannian Gradient Method for Distributed PCA
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7492-7510
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Minimax-Bayes Reinforcement Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7511-7527
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Retrospective Uncertainties for Deep Models using Vine Copulas
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7528-7539
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Optimal Algorithms for Latent Bandits with Cluster Structure
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7540-7577
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Improved Bound on Generalization Error of Compressed KNN Estimator
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7578-7593
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Online Linearized LASSO
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7594-7610
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Multi-Agent congestion cost minimization with linear function approximations
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7611-7643
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Global-Local Regularization Via Distributional Robustness
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7644-7664
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Vector Quantized Time Series Generation with a Bidirectional Prior Model
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7665-7693
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Risk-aware linear bandits with convex loss
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7723-7754
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One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7755-7773
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Data Augmentation for Imbalanced Regression
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7774-7799
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Fast Feature Selection with Fairness Constraints
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7800-7823
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On the Consistency Rate of Decision Tree Learning Algorithms
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7824-7848
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Rank-Based Causal Discovery for Post-Nonlinear Models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7849-7870
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On the Complexity of Representation Learning in Contextual Linear Bandits
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7871-7896
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Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7897-7912
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Revisiting Weighted Strategy for Non-stationary Parametric Bandits
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7913-7942
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No time to waste: practical statistical contact tracing with few low-bit messages
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7943-7960
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Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7961-7980
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Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7981-7998
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Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:7999-8028
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Model-Based Uncertainty in Value Functions
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8029-8052
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The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8053-8077
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Online Algorithms with Costly Predictions
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8078-8101
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Adaptive Tuning for Metropolis Adjusted Langevin Trajectories
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8102-8116
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Further Adaptive Best-of-Both-Worlds Algorithm for Combinatorial Semi-Bandits
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8117-8144
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PAC-Bayesian Learning of Optimization Algorithms
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8145-8164
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Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8165-8182
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Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8183-8210
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Pointwise sampling uncertainties on the Precision-Recall curve
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8211-8232
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Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8233-8262
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Nothing but Regrets — Privacy-Preserving Federated Causal Discovery
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8263-8278
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Nonparametric Gaussian Process Covariances via Multidimensional Convolutions
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8279-8293
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Improved Representation Learning Through Tensorized Autoencoders
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8294-8307
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Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8308-8320
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A Targeted Accuracy Diagnostic for Variational Approximations
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8351-8372
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Root Cause Identification for Collective Anomalies in Time Series given an Acyclic Summary Causal Graph with Loops
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8395-8404
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Principled Approaches for Private Adaptation from a Public Source
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8405-8432
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CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8433-8447
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Surveillance Evasion Through Bayesian Reinforcement Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8448-8462
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Overparameterized Random Feature Regression with Nearly Orthogonal Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8463-8493
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How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8494-8520
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Scalable Unbalanced Sobolev Transport for Measures on a Graph
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8521-8560
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Discrete Distribution Estimation under User-level Local Differential Privacy
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8561-8585
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Causal Entropy Optimization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8586-8605
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Loss-Curvature Matching for Dataset Selection and Condensation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8606-8628
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Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8629-8644
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Density Ratio Estimation and Neyman Pearson Classification with Missing Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8645-8681
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Representation Learning in Deep RL via Discrete Information Bottleneck
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8699-8722
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Learning Robust Graph Neural Networks with Limited Supervision
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8723-8733
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Consistent Complementary-Label Learning via Order-Preserving Losses
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8734-8748
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Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte Carlo
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8749-8770
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Nonstochastic Contextual Combinatorial Bandits
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8771-8813
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Probabilistic Conformal Prediction Using Conditional Random Samples
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8814-8836
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Preferential Subsampling for Stochastic Gradient Langevin Dynamics
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8837-8856
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On the Calibration of Probabilistic Classifier Sets
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8857-8870
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Context-Specific Causal Discovery for Categorical Data Using Staged Trees
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8871-8888
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Federated Learning for Data Streams
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8889-8924
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Adversarial robustness of VAEs through the lens of local geometry
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8954-8967
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Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8968-8990
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Learning to Optimize with Stochastic Dominance Constraints
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:8991-9009
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SoundSynp: Sound Source Detection from Raw Waveforms with Multi-Scale Synperiodic Filterbanks
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9010-9023
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Second Order Path Variationals in Non-Stationary Online Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9024-9075
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Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9076-9093
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Knowledge Sheaves: A Sheaf-Theoretic Framework for Knowledge Graph Embedding
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9094-9116
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Active Cost-aware Labeling of Streaming Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9117-9136
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Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9137-9166
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SwAMP: Swapped Assignment of Multi-Modal Pairs for Cross-Modal Retrieval
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9167-9190
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A Mini-Block Fisher Method for Deep Neural Networks
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9191-9220
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On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9238-9281
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Pricing against a Budget and ROI Constrained Buyer
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9282-9307
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Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9308-9330
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Incentive-aware Contextual Pricing with Non-parametric Market Noise
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9331-9361
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Coherent Probabilistic Forecasting of Temporal Hierarchies
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9362-9376
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Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9377-9399
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Randomized geometric tools for anomaly detection in stock markets
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9400-9416
[abs][Download PDF][Software]
ForestPrune: Compact Depth-Pruned Tree Ensembles
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9417-9428
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Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9429-9469
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Multiple-policy High-confidence Policy Evaluation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9470-9487
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Compositional Probabilistic and Causal Inference using Tractable Circuit Models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9488-9498
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Improved Approximation for Fair Correlation Clustering
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9499-9516
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Diffusion Generative Models in Infinite Dimensions
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9538-9563
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MMD-B-Fair: Learning Fair Representations with Statistical Testing
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9564-9576
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Domain Adaptation under Missingness Shift
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9577-9606
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Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9607-9636
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Adapting to Latent Subgroup Shifts via Concepts and Proxies
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9637-9661
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On the Privacy Risks of Algorithmic Recourse
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9680-9696
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Reducing Discretization Error in the Frank-Wolfe Method
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9697-9727
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Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9728-9754
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Factorial SDE for Multi-Output Gaussian Process Regression
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9755-9772
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Interactive Learning with Pricing for Optimal and Stable Allocations in Markets
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9773-9806
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Learning to Generalize Provably in Learning to Optimize
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9807-9825
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Theory and Algorithm for Batch Distribution Drift Problems
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9826-9851
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On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9852-9878
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Precision/Recall on Imbalanced Test Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9879-9891
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Iterative Teaching by Data Hallucination
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9892-9913
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Near-Optimal Differentially Private Reinforcement Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9914-9940
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Doubly Fair Dynamic Pricing
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:9941-9975
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Probabilities of Causation: Role of Observational Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10012-10027
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Influence Diagnostics under Self-concordance
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10028-10076
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Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10077-10094
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Large deviations rates for stochastic gradient descent with strongly convex functions
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10095-10111
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Stochastic Optimization for Spectral Risk Measures
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10112-10159
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Improving Adaptive Conformal Prediction Using Self-Supervised Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10160-10177
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Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10178-10206
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Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10207-10222
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Ideal Abstractions for Decision-Focused Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10223-10234
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Probabilistic Querying of Continuous-Time Event Sequences
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10235-10251
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Semantic Strengthening of Neuro-Symbolic Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10252-10261
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Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10262-10278
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SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10279-10304
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A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10305-10323
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Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10324-10342
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DIET: Conditional independence testing with marginal dependence measures of residual information
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10343-10367
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Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10368-10394
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Actually Sparse Variational Gaussian Processes
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10395-10408
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Competing against Adaptive Strategies in Online Learning via Hints
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10409-10424
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ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10425-10444
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Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10445-10469
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Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10470-10486
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Sample Complexity of Distinguishing Cause from Effect
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10487-10504
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Graph Spectral Embedding using the Geodesic Betweenness Centrality
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10505-10519
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Score-based Quickest Change Detection for Unnormalized Models
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10546-10565
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Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10566-10593
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Reinforcement Learning with Stepwise Fairness Constraints
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10594-10618
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Federated Asymptotics: a model to compare federated learning algorithms
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10650-10689
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Conformalized Unconditional Quantile Regression
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10690-10702
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Wasserstein Distributional Learning via Majorization-Minimization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10703-10731
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HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10732-10781
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Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10782-10814
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On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10815-10838
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Convolutional Persistence as a Remedy to Neural Model Analysis
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10839-10855
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Uniformly Conservative Exploration in Reinforcement Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10856-10870
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Provable Safe Reinforcement Learning with Binary Feedback
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10871-10900
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Balanced Off-Policy Evaluation for Personalized Pricing
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10901-10917
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Provable Hierarchy-Based Meta-Reinforcement Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10918-10967
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A Blessing of Dimensionality in Membership Inference through Regularization
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10968-10993
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Posterior Tracking Algorithm for Classification Bandits
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:10994-11022
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Mixtures of All Trees
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11043-11058
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Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11059-11078
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Performative Prediction with Neural Networks
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11079-11093
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Benign overfitting of non-smooth neural networks beyond lazy training
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11094-11117
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A New Modeling Framework for Continuous, Sequential Domains
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11118-11131
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TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11132-11148
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Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11149-11171
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Approximate Regions of Attraction in Learning with Decision-Dependent Distributions
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11172-11184
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Randomized Primal-Dual Methods with Adaptive Step Sizes
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11185-11212
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Spectral Augmentations for Graph Contrastive Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11213-11266
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Deep Value Function Networks for Large-Scale Multistage Stochastic Programs
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11267-11287
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Optimal Sketching Bounds for Sparse Linear Regression
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11288-11316
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Average case analysis of Lasso under ultra sparse conditions
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11317-11330
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Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11331-11354
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Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11355-11370
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Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11371-11414
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Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11415-11434
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Spread Flows for Manifold Modelling
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11435-11456
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Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11457-11488
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Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11489-11505
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Algorithm for Constrained Markov Decision Process with Linear Convergence
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11506-11533
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Inducing Neural Collapse in Deep Long-tailed Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11534-11544
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Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11545-11562
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Regression as Classification: Influence of Task Formulation on Neural Network Features
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11563-11582
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Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11583-11607
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Probing Graph Representations
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11630-11649
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Efficient SAGE Estimation via Causal Structure Learning
; Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR 206:11650-11670
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