Loopy Belief Propagation for Bipartite Maximum Weight b-Matching. - Bert Huang; Tony Jebara (AISTATS, 2007)

Vers des Machines à Vecteurs Support "Actionnables" : Une Approche Fondée sur le Classement. - Ansaf Salleb-Aouissi; Bert Huang; David L. Waltz (EGC, 2008)

Exact Graph Structure Estimation with Degree Priors. - Bert Huang; Tony Jebara (ICMLA, 2009)

Alive on Back-feed Culprit Identification via Machine Learning. - Bert Huang; Ansaf Salleb-Aouissi; Philip Gross (ICMLA, 2009)

Discovering Characterization Rules from Rankings. - Ansaf Salleb-Aouissi; Bert Huang; David L. Waltz (ICMLA, 2009)

Approximating the Permanent with Belief Propagation - Bert Huang; Tony Jebara (CoRR, 2009)

Maximum Entropy Density Estimation with Incomplete Presence-Only Data. - Bert Huang; Ansaf Salleb-Aouissi (AISTATS, 2009)

IBM Research TRECVID-2010 Video Copy Detection and Multimedia Event Detection System. - Matthew L. Hill; Gang Hua 001; Apostol Natsev; John R. Smith; Lexing Xie; Bert Huang; Michele Merler; Hua Ouyang; Mingyuan Zhou (TRECVID, 2010)

Collaborative Filtering via Rating Concentration. - Bert Huang; Tony Jebara (AISTATS, 2010)

Learning a Distance Metric from a Network. - Blake Shaw; Bert Huang; Tony Jebara (NIPS, 2011)

Fast b-matching via Sufficient Selection Belief Propagation. - Bert Huang; Tony Jebara (AISTATS, 2011)

Learning with Degree-Based Subgraph Estimation. - Bert Huang (2011)

Probabilistic Soft Logic for Trust Analysis in Social Networks. - Bert Huang; Angelika Kimmig; Lise Getoor; Jennifer Golbeck (StarAI@UAI, 2012)

Machine Learning for theNew York City Power Grid. - Cynthia Rudin; David L. Waltz; Roger Anderson; Albert Boulanger; Ansaf Salleb-Aouissi; Maggie Chow; Haimonti Dutta; Philip Gross; Bert Huang; Steve Ierome (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Semantic Model Vectors for Complex Video Event Recognition. - Michele Merler; Bert Huang; Lexing Xie; Gang Hua 001; Apostol Natsev (IEEE Trans. Multim., 2012)

A hypergraph-partitioned vertex programming approach for large-scale consensus optimization. - Hui Miao 001; Xiangyang Liu; Bert Huang; Lise Getoor (IEEE BigData, 2013)

Collective Activity Detection Using Hinge-loss Markov Random Fields. - Ben London 001; Sameh Khamis; Stephen H. Bach; Bert Huang; Lise Getoor; Larry S. Davis (CVPR Workshops, 2013)

Collective Stability in Structured Prediction: Generalization from One Example. - Ben London 001; Bert Huang; Ben Taskar; Lise Getoor (ICML (3), 2013)

A Flexible Framework for Probabilistic Models of Social Trust. - Bert Huang; Angelika Kimmig; Lise Getoor; Jennifer Golbeck (SBP, 2013)

Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. - Stephen H. Bach; Bert Huang; Ben London 001; Lise Getoor (UAI, 2013)

Graph-based Generalization Bounds for Learning Binary Relations - Ben London 001; Bert Huang; Lise Getoor (CoRR, 2013)

Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss - Ben London 001; Theodoros Rekatsinas; Bert Huang; Lise Getoor (CoRR, 2013)

Learning Latent Engagement Patterns of Students in Online Courses. - Arti Ramesh; Dan Goldwasser; Bert Huang; Hal Daumé III; Lise Getoor (AAAI, 2014)

PAC-Bayesian Collective Stability. - Ben London 001; Bert Huang; Ben Taskar; Lise Getoor (AISTATS, 2014)

Understanding MOOC Discussion Forums using Seeded LDA. - Arti Ramesh; Dan Goldwasser; Bert Huang; Hal Daumé III; Lise Getoor (BEA@ACL, 2014)

Discovering evolving political vocabulary in social media. - Aravindan Mahendiran; Wei Wang 064; Jaime Arredondo Sanchez Lira; Bert Huang; Lise Getoor; David Mares; Naren Ramakrishnan (BESC, 2014)

'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. - Naren Ramakrishnan; Patrick Butler; Sathappan Muthiah; Nathan Self; Rupinder Paul Khandpur; Parang Saraf; Wei Wang 064; Jose Cadena; Anil Vullikanti; Gizem Korkmaz; Chris J. Kuhlman; Achla Marathe; et al. (KDD, 2014)

Uncovering hidden engagement patterns for predicting learner performance in MOOCs. - Arti Ramesh; Dan Goldwasser; Bert Huang; Hal Daumé III; Lise Getoor (L@S, 2014)

Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic. - Shobeir Fakhraei; Bert Huang; Louiqa Raschid; Lise Getoor (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Planned Protest Modeling in News and Social Media. - Sathappan Muthiah; Bert Huang; Jaime Arredondo; David Mares; Lise Getoor; Graham Katz; Naren Ramakrishnan (AAAI, 2015)

Joint Models of Disagreement and Stance in Online Debate. - Dhanya Sridhar; James R. Foulds; Bert Huang; Lise Getoor; Marilyn A. Walker (ACL (1), 2015)

Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees. - Stephen H. Bach; Bert Huang; Lise Getoor (AISTATS, 2015)

Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs. - Stephen H. Bach; Bert Huang; Jordan L. Boyd-Graber; Lise Getoor (ICML, 2015)

The Benefits of Learning with Strongly Convex Approximate Inference. - Ben London 001; Bert Huang; Lise Getoor (ICML, 2015)

A Weakly Supervised Approach for Adaptive Detection of Cyberbullying Roles. - Bert Huang (CyberSafety@CIKM, 2016)

Capturing Planned Protests from Open Source Indicators. - Sathappan Muthiah; Bert Huang; Jaime Arredondo; David Mares; Lise Getoor; Graham Katz; Naren Ramakrishnan (AI Mag., 2016)

Cyberbullying Identification Using Participant-Vocabulary Consistency. - Elaheh Raisi; Bert Huang (CoRR, 2016)

Stability and Generalization in Structured Prediction. - Ben London 001; Bert Huang; Lise Getoor (J. Mach. Learn. Res., 2016)

Cyberbullying Detection with Weakly Supervised Machine Learning. - Elaheh Raisi; Bert Huang (ASONAM, 2017)

Beyond Parity: Fairness Objectives for Collaborative Filtering. - Sirui Yao; Bert Huang (NIPS, 2017)

Online Edge Grafting for Efficient MRF Structure Learning. - Walid Chaabene; Bert Huang (CoRR, 2017)

New Fairness Metrics for Recommendation that Embrace Differences. - Sirui Yao; Bert Huang (CoRR, 2017)

Hinge-Loss Markov Random Fields and Probabilistic Soft Logic. - Stephen H. Bach; Matthias Broecheler; Bert Huang; Lise Getoor (J. Mach. Learn. Res., 2017)

Weakly Supervised Cyberbullying Detection Using Co-Trained Ensembles of Embedding Models. - Elaheh Raisi; Bert Huang (ASONAM, 2018)

Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields. - Walid Chaabene; Bert Huang (IEEE BigData, 2018)

Smart HVAC Systems - Adjustable Airflow Direction. - Milad Abedi; Farrokh Jazizadeh; Bert Huang; Francine Battaglia (EG-ICE, 2018)

Sparse-Matrix Belief Propagation. - Reid Bixler; Bert Huang (UAI, 2018)

International Workshop on Cybersafety Chairs' Welcome & Organization. - Richard Han 001; Jeremy Blackburn; Homa Hosseinmardi; Qin Lv; Bert Huang; Shivakant Mishra (WWW (Companion Volume), 2018)

Adversarial Labeling for Learning without Labels. - Chidubem Arachie; Bert Huang (CoRR, 2018)

Weakly supervised cyberbullying detection with participant-vocabulary consistency. - Elaheh Raisi; Bert Huang (Soc. Netw. Anal. Min., 2018)

Adversarial Label Learning. - Chidubem Arachie; Bert Huang (AAAI, 2019)

Block Belief Propagation for Parameter Learning in Markov Random Fields. - You Lu 003; Zhiyuan Liu 003; Bert Huang (AAAI, 2019)

Reduced-Bias Co-trained Ensembles for Weakly Supervised Cyberbullying Detection. - Elaheh Raisi; Bert Huang (CSoNet, 2019)

Deep Generative Models for Generating Labeled Graphs. - Shuangfei Fan; Bert Huang (DGS@ICLR, 2019)

An Adaptable Framework for Deep Adversarial Label Learning from Weak Supervision. - Chidubem Arachie; Bert Huang (CoRR, 2019)

Labeled Graph Generative Adversarial Networks. - Shuangfei Fan; Bert Huang (CoRR, 2019)

Active Learning by Greedy Split and Label Exploration. - Alyssa Herbst; Bert Huang (CoRR, 2019)

Recurrent collective classification. - Shuangfei Fan; Bert Huang (Knowl. Inf. Syst., 2019)

Structured Output Learning with Conditional Generative Flows. - You Lu 003; Bert Huang (AAAI, 2020)

Woodbury Transformations for Deep Generative Flows. - You Lu 003; Bert Huang (NeurIPS, 2020)

Attention-Based Graph Evolution. - Shuangfei Fan; Bert Huang (PAKDD (1), 2020)

Preconditions for guardianship interventions in cyberbullying: Incident interpretation, collective and automated efficacy, and relative popularity of bullies. - Leanna Ireland; James Hawdon; Bert Huang; Anthony Peguero (Comput. Hum. Behav., 2020)

Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields. - Arti Ramesh; Dan Goldwasser; Bert Huang; Hal Daumé III; Lise Getoor (IEEE Trans. Learn. Technol., 2020)

Personalized Regularization Learning for Fairer Matrix Factorization. - Sirui Yao; Bert Huang (PAKDD (2), 2021)

Constrained labeling for weakly supervised learning. - Chidubem Arachie; Bert Huang (UAI, 2021)

A General Framework for Adversarial Label Learning. - Chidubem Arachie; Bert Huang (J. Mach. Learn. Res., 2021)

Firebolt: Weak Supervision Under Weaker Assumptions. - Zhaobin Kuang; Chidubem G. Arachie; Bangyong Liang; Pradyumna Narayana; Giulia DeSalvo; Michael S. Quinn; Bert Huang; Geoffrey Downs; Yang Yang (AISTATS, 2022)

Data Consistency for Weakly Supervised Learning. - Chidubem Arachie; Bert Huang (CoRR, 2022)

Weakly Supervised Label Learning Flows. - You Lu 003; Chidubem Arachie; Bert Huang (CoRR, 2023)

Weakly supervised label learning flows. - You Lu 003; Wenzhuo Song; Chidubem Arachie; Bert Huang (Neural Networks, 2025)