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2020 – today
- 2023
[i22]You Lu, Chidubem Arachie, Bert Huang:
Weakly Supervised Label Learning Flows. CoRR abs/2302.09649 (2023)- 2022
- [c45]Zhaobin Kuang, Chidubem G. Arachie, Bangyong Liang, Pradyumna Narayana, Giulia DeSalvo, Michael S. Quinn, Bert Huang, Geoffrey Downs, Yang Yang:
Firebolt: Weak Supervision Under Weaker Assumptions. AISTATS 2022: 8214-8259 - [i21]Chidubem Arachie, Bert Huang:
Data Consistency for Weakly Supervised Learning. CoRR abs/2202.03987 (2022) - 2021
- [j11]Chidubem Arachie, Bert Huang:
A General Framework for Adversarial Label Learning. J. Mach. Learn. Res. 22: 118:1-118:33 (2021) - [c44]Sirui Yao, Bert Huang
:
Personalized Regularization Learning for Fairer Matrix Factorization. PAKDD (2) 2021: 600-611 - [c43]Chidubem Arachie, Bert Huang:
Constrained labeling for weakly supervised learning. UAI 2021: 236-246 - 2020
- [j10]Leanna Ireland, James Hawdon, Bert Huang, Anthony Peguero:
Preconditions for guardianship interventions in cyberbullying: Incident interpretation, collective and automated efficacy, and relative popularity of bullies. Comput. Hum. Behav. 113: 106506 (2020) - [j9]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields. IEEE Trans. Learn. Technol. 13(1): 107-122 (2020) - [c42]You Lu, Bert Huang:
Structured Output Learning with Conditional Generative Flows. AAAI 2020: 5005-5012 - [c41]You Lu, Bert Huang:
Woodbury Transformations for Deep Generative Flows. NeurIPS 2020 - [c40]Shuangfei Fan, Bert Huang:
Attention-Based Graph Evolution. PAKDD (1) 2020: 436-447 - [i20]You Lu, Bert Huang:
Woodbury Transformations for Deep Generative Flows. CoRR abs/2002.12229 (2020) - [i19]Chidubem Arachie, Bert Huang:
Constrained Labeling for Weakly Supervised Learning. CoRR abs/2009.07360 (2020)
2010 – 2019
- 2019
- [j8]Shuangfei Fan, Bert Huang:
Recurrent collective classification. Knowl. Inf. Syst. 60(2): 741-755 (2019) - [c39]Chidubem Arachie, Bert Huang:
Adversarial Label Learning. AAAI 2019: 3183-3190 - [c38]You Lu, Zhiyuan Liu, Bert Huang:
Block Belief Propagation for Parameter Learning in Markov Random Fields. AAAI 2019: 4448-4455 - [c37]Elaheh Raisi, Bert Huang:
Reduced-Bias Co-trained Ensembles for Weakly Supervised Cyberbullying Detection. CSoNet 2019: 293-306 - [c36]Shuangfei Fan, Bert Huang:
Deep Generative Models for Generating Labeled Graphs. DGS@ICLR 2019 - [i18]You Lu, Bert Huang:
Structured Output Learning with Conditional Generative Flows. CoRR abs/1905.13288 (2019) - [i17]Chidubem Arachie, Bert Huang:
An Adaptable Framework for Deep Adversarial Label Learning from Weak Supervision. CoRR abs/1906.00512 (2019) - [i16]Shuangfei Fan, Bert Huang:
Labeled Graph Generative Adversarial Networks. CoRR abs/1906.03220 (2019) - [i15]Alyssa Herbst, Bert Huang:
Active Learning by Greedy Split and Label Exploration. CoRR abs/1906.07046 (2019) - 2018
- [j7]Elaheh Raisi, Bert Huang:
Weakly supervised cyberbullying detection with participant-vocabulary consistency. Soc. Netw. Anal. Min. 8(1): 38:1-38:17 (2018) - [c35]Elaheh Raisi, Bert Huang:
Weakly Supervised Cyberbullying Detection Using Co-Trained Ensembles of Embedding Models. ASONAM 2018: 479-486 - [c34]Walid Chaabene, Bert Huang:
Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields. IEEE BigData 2018: 16-25 - [c33]Milad Abedi, Farrokh Jazizadeh, Bert Huang, Francine Battaglia:
Smart HVAC Systems - Adjustable Airflow Direction. EG-ICE 2018: 193-209 - [c32]Reid Bixler, Bert Huang:
Sparse-Matrix Belief Propagation. UAI 2018: 611-620 - [c31]Richard Han, Jeremy Blackburn, Homa Hosseinmardi, Qin Lv, Bert Huang, Shivakant Mishra:
International Workshop on Cybersafety Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 981-982 - [i14]Chidubem Arachie, Bert Huang:
Adversarial Labeling for Learning without Labels. CoRR abs/1805.08877 (2018) - [i13]You Lu, Zhiyuan Liu, Bert Huang:
Block Belief Propagation for Parameter Learning in Markov Random Fields. CoRR abs/1811.04064 (2018) - 2017
- [j6]Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor:
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic. J. Mach. Learn. Res. 18: 109:1-109:67 (2017) - [c30]Elaheh Raisi, Bert Huang:
Cyberbullying Detection with Weakly Supervised Machine Learning. ASONAM 2017: 409-416 - [c29]Sirui Yao, Bert Huang:
Beyond Parity: Fairness Objectives for Collaborative Filtering. NIPS 2017: 2921-2930 - [i12]Shuangfei Fan, Bert Huang:
Recurrent Collective Classification. CoRR abs/1703.06514 (2017) - [i11]Sirui Yao, Bert Huang:
Beyond Parity: Fairness Objectives for Collaborative Filtering. CoRR abs/1705.08804 (2017) - [i10]Walid Chaabene, Bert Huang:
Online Edge Grafting for Efficient MRF Structure Learning. CoRR abs/1705.09026 (2017) - [i9]Sirui Yao, Bert Huang:
New Fairness Metrics for Recommendation that Embrace Differences. CoRR abs/1706.09838 (2017) - 2016
- [j5]Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan:
Capturing Planned Protests from Open Source Indicators. AI Mag. 37(2): 63-75 (2016) - [j4]Ben London, Bert Huang, Lise Getoor:
Stability and Generalization in Structured Prediction. J. Mach. Learn. Res. 17: 222:1-222:52 (2016) - [c28]Bert Huang:
A Weakly Supervised Approach for Adaptive Detection of Cyberbullying Roles. CyberSafety@CIKM 2016: 15 - [i8]Elaheh Raisi, Bert Huang:
Cyberbullying Identification Using Participant-Vocabulary Consistency. CoRR abs/1606.08084 (2016) - 2015
- [c27]Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan:
Planned Protest Modeling in News and Social Media. AAAI 2015: 3920-3927 - [c26]Dhanya Sridhar, James R. Foulds, Bert Huang, Lise Getoor, Marilyn A. Walker:
Joint Models of Disagreement and Stance in Online Debate. ACL (1) 2015: 116-125 - [c25]Stephen H. Bach, Bert Huang, Lise Getoor:
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees. AISTATS 2015 - [c24]Stephen H. Bach, Bert Huang, Jordan L. Boyd-Graber, Lise Getoor:
Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs. ICML 2015: 381-390 - [c23]Ben London, Bert Huang, Lise Getoor:
The Benefits of Learning with Strongly Convex Approximate Inference. ICML 2015: 410-418 - [i7]Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor:
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic. CoRR abs/1505.04406 (2015) - 2014
- [j3]Shobeir Fakhraei, Bert Huang, Louiqa Raschid, Lise Getoor:
Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic. IEEE ACM Trans. Comput. Biol. Bioinform. 11(5): 775-787 (2014) - [c22]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Learning Latent Engagement Patterns of Students in Online Courses. AAAI 2014: 1272-1278 - [c21]Ben London, Bert Huang, Ben Taskar, Lise Getoor:
PAC-Bayesian Collective Stability. AISTATS 2014: 585-594 - [c20]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Understanding MOOC Discussion Forums using Seeded LDA. BEA@ACL 2014: 28-33 - [c19]Aravindan Mahendiran, Wei Wang, Jaime Arredondo Sanchez Lira, Bert Huang, Lise Getoor, David Mares, Naren Ramakrishnan:
Discovering evolving political vocabulary in social media. BESC 2014: 26-32 - [c18]Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares:
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. KDD 2014: 1799-1808 - [c17]Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor:
Uncovering hidden engagement patterns for predicting learner performance in MOOCs. L@S 2014: 157-158 - [i6]Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares:
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators. CoRR abs/1402.7035 (2014) - 2013
- [c16]Hui Miao, Xiangyang Liu, Bert Huang, Lise Getoor:
A hypergraph-partitioned vertex programming approach for large-scale consensus optimization. IEEE BigData 2013: 563-568 - [c15]Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry S. Davis:
Collective Activity Detection Using Hinge-loss Markov Random Fields. CVPR Workshops 2013: 566-571 - [c14]Ben London, Bert Huang, Ben Taskar, Lise Getoor:
Collective Stability in Structured Prediction: Generalization from One Example. ICML (3) 2013: 828-836 - [c13]Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck:
A Flexible Framework for Probabilistic Models of Social Trust. SBP 2013: 265-273 - [c12]Stephen H. Bach, Bert Huang, Ben London, Lise Getoor:
Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. UAI 2013 - [i5]Ben London, Bert Huang, Lise Getoor:
Graph-based Generalization Bounds for Learning Binary Relations. CoRR abs/1302.5348 (2013) - [i4]Ben London, Theodoros Rekatsinas, Bert Huang, Lise Getoor:
Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss. CoRR abs/1303.1733 (2013) - [i3]Hui Miao, Xiangyang Liu, Bert Huang, Lise Getoor:
A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization. CoRR abs/1308.6823 (2013) - [i2]Stephen H. Bach, Bert Huang, Ben London, Lise Getoor:
Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. CoRR abs/1309.6813 (2013) - 2012
- [j2]Cynthia Rudin, David L. Waltz, Roger Anderson, Albert Boulanger, Ansaf Salleb-Aouissi, Maggie Chow, Haimonti Dutta, Philip Gross, Bert Huang, Steve Ierome:
Machine Learning for theNew York City Power Grid. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 328-345 (2012) - [j1]Michele Merler, Bert Huang, Lexing Xie, Gang Hua, Apostol Natsev:
Semantic Model Vectors for Complex Video Event Recognition. IEEE Trans. Multim. 14(1): 88-101 (2012) - [c11]Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck:
Probabilistic Soft Logic for Trust Analysis in Social Networks. StarAI@UAI 2012 - 2011
- [b1]Bert Huang:
Learning with Degree-Based Subgraph Estimation. Columbia University, USA, 2011 - [c10]Blake Shaw, Bert Huang, Tony Jebara:
Learning a Distance Metric from a Network. NIPS 2011: 1899-1907 - [c9]Bert Huang, Tony Jebara:
Fast b-matching via Sufficient Selection Belief Propagation. AISTATS 2011: 361-369 - 2010
- [c8]Matthew L. Hill, Gang Hua, Apostol Natsev, John R. Smith, Lexing Xie, Bert Huang, Michele Merler, Hua Ouyang, Mingyuan Zhou:
IBM Research TRECVID-2010 Video Copy Detection and Multimedia Event Detection System. TRECVID 2010 - [c7]Bert Huang, Tony Jebara:
Collaborative Filtering via Rating Concentration. AISTATS 2010: 334-341
2000 – 2009
- 2009
- [c6]Bert Huang, Tony Jebara:
Exact Graph Structure Estimation with Degree Priors. ICMLA 2009: 111-118 - [c5]Ansaf Salleb-Aouissi, Bert Huang, David L. Waltz:
Discovering Characterization Rules from Rankings. ICMLA 2009: 154-161 - [c4]Bert Huang, Ansaf Salleb-Aouissi, Philip Gross:
Alive on Back-feed Culprit Identification via Machine Learning. ICMLA 2009: 725-730 - [c3]Bert Huang, Ansaf Salleb-Aouissi:
Maximum Entropy Density Estimation with Incomplete Presence-Only Data. AISTATS 2009: 240-247 - [i1]Bert Huang, Tony Jebara:
Approximating the Permanent with Belief Propagation. CoRR abs/0908.1769 (2009) - 2008
- [c2]Ansaf Salleb-Aouissi, Bert Huang, David L. Waltz:
Vers des Machines à Vecteurs Support "Actionnables" : Une Approche Fondée sur le Classement. EGC 2008: 285-296 - 2007
- [c1]Bert Huang, Tony Jebara:
Loopy Belief Propagation for Bipartite Maximum Weight b-Matching. AISTATS 2007: 195-202
Coauthor Index
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