Huang, Bert

26 publications

AISTATS 2022 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
JMLR 2021 A General Framework for Adversarial Label Learning Chidubem Arachie, Bert Huang
UAI 2021 Constrained Labeling for Weakly Supervised Learning Chidubem Arachie, Bert Huang
AAAI 2020 Structured Output Learning with Conditional Generative Flows You Lu, Bert Huang
NeurIPS 2020 Woodbury Transformations for Deep Generative Flows You Lu, Bert Huang
AAAI 2019 Adversarial Label Learning Chidubem Arachie, Bert Huang
AAAI 2019 Block Belief Propagation for Parameter Learning in Markov Random Fields You Lu, Zhiyuan Liu, Bert Huang
ICLRW 2019 Deep Generative Models for Generating Labeled Graphs Shuangfei Fan, Bert Huang
UAI 2018 Sparse-Matrix Belief Propagation Reid Bixler, Bert Huang
NeurIPS 2017 Beyond Parity: Fairness Objectives for Collaborative Filtering Sirui Yao, Bert Huang
JMLR 2017 Hinge-Loss Markov Random Fields and Probabilistic Soft Logic Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor
JMLR 2016 Stability and Generalization in Structured Prediction Ben London, Bert Huang, Lise Getoor
ICML 2015 Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs Stephen Bach, Bert Huang, Jordan Boyd-Graber, Lise Getoor
AAAI 2015 Planned Protest Modeling in News and Social Media Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan
ICML 2015 The Benefits of Learning with Strongly Convex Approximate Inference Ben London, Bert Huang, Lise Getoor
AISTATS 2015 Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees Stephen H. Bach, Bert Huang, Lise Getoor
AAAI 2014 Learning Latent Engagement Patterns of Students in Online Courses Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé Iii, Lise Getoor
AISTATS 2014 PAC-Bayesian Collective Stability Ben London, Bert Huang, Ben Taskar, Lise Getoor
CVPRW 2013 Collective Activity Detection Using Hinge-Loss Markov Random Fields Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry S. Davis
ICML 2013 Collective Stability in Structured Prediction: Generalization from One Example Ben London, Bert Huang, Ben Taskar, Lise Getoor
UAI 2013 Hinge-Loss Markov Random Fields: Convex Inference for Structured Prediction Stephen H. Bach, Bert Huang, Ben London, Lise Getoor
AISTATS 2011 Fast $b$-Matching via Sufficient Selection Belief Propagation Bert Huang, Tony Jebara
NeurIPS 2011 Learning a Distance Metric from a Network Blake Shaw, Bert Huang, Tony Jebara
AISTATS 2010 Collaborative Filtering via Rating Concentration Bert Huang, Tony Jebara
AISTATS 2009 Maximum Entropy Density Estimation with Incomplete Presence-Only Data Bert Huang, Ansaf Salleb-Aouissi
AISTATS 2007 Loopy Belief Propagation for Bipartite Maximum Weight B-Matching Bert Huang, Tony Jebara