Bert Huang

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 41

Top Topics

Structured Prediction

Markov Random Field

Weakly Supervised

Approximate Inference

Top Venues

Publications

You Lu, Chidubem Arachie, Bert Huang
Weakly Supervised Label Learning Flows. CoRR (2023)
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)
Chidubem Arachie, Bert Huang
Data Consistency for Weakly Supervised Learning. CoRR (2022)
Sirui Yao, Bert Huang
Personalized Regularization Learning for Fairer Matrix Factorization. PAKDD (2) (2021)
Chidubem Arachie, Bert Huang
A General Framework for Adversarial Label Learning. J. Mach. Learn. Res. 22 (2021)
Chidubem Arachie, Bert Huang
Constrained labeling for weakly supervised learning. UAI (2021)
Shuangfei Fan, Bert Huang
Attention-Based Graph Evolution. PAKDD (1) (2020)
You Lu, Bert Huang
Structured Output Learning with Conditional Generative Flows. AAAI (2020)
You Lu, Bert Huang
Woodbury Transformations for Deep Generative Flows. NeurIPS (2020)
Chidubem Arachie, Bert Huang
Constrained Labeling for Weakly Supervised Learning. CoRR (2020)
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) (2020)
You Lu, Bert Huang
Woodbury Transformations for Deep Generative Flows. CoRR (2020)
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 (2020)
Shuangfei Fan, Bert Huang
Recurrent collective classification. Knowl. Inf. Syst. 60 (2) (2019)
Shuangfei Fan, Bert Huang
Labeled Graph Generative Adversarial Networks. CoRR (2019)
Chidubem Arachie, Bert Huang
An Adaptable Framework for Deep Adversarial Label Learning from Weak Supervision. CoRR (2019)
Alyssa Herbst, Bert Huang
Active Learning by Greedy Split and Label Exploration. CoRR (2019)
Chidubem Arachie, Bert Huang
Adversarial Label Learning. AAAI (2019)
Elaheh Raisi, Bert Huang
Reduced-Bias Co-trained Ensembles for Weakly Supervised Cyberbullying Detection. CSoNet (2019)
Shuangfei Fan, Bert Huang
Deep Generative Models for Generating Labeled Graphs. DGS@ICLR (2019)
You Lu, Bert Huang
Structured Output Learning with Conditional Generative Flows. CoRR (2019)
You Lu, Zhiyuan Liu, Bert Huang
Block Belief Propagation for Parameter Learning in Markov Random Fields. AAAI (2019)
Chidubem Arachie, Bert Huang
Adversarial Labeling for Learning without Labels. CoRR (2018)
Reid Bixler, Bert Huang
Sparse-Matrix Belief Propagation. UAI (2018)
You Lu, Zhiyuan Liu, Bert Huang
Block Belief Propagation for Parameter Learning in Markov Random Fields. CoRR (2018)
Richard Han, Jeremy Blackburn, Homa Hosseinmardi, Qin Lv, Bert Huang, Shivakant Mishra
International Workshop on Cybersafety Chairs' Welcome & Organization. WWW (Companion Volume) (2018)
Walid Chaabene, Bert Huang
Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields. IEEE BigData (2018)
Elaheh Raisi, Bert Huang
Weakly supervised cyberbullying detection with participant-vocabulary consistency. Soc. Netw. Anal. Min. 8 (1) (2018)
Elaheh Raisi, Bert Huang
Weakly Supervised Cyberbullying Detection Using Co-Trained Ensembles of Embedding Models. ASONAM (2018)
Milad Abedi, Farrokh Jazizadeh, Bert Huang, Francine Battaglia
Smart HVAC Systems - Adjustable Airflow Direction. EG-ICE (2018)
Sirui Yao, Bert Huang
Beyond Parity: Fairness Objectives for Collaborative Filtering. CoRR (2017)
Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic. J. Mach. Learn. Res. 18 (2017)
Sirui Yao, Bert Huang
New Fairness Metrics for Recommendation that Embrace Differences. CoRR (2017)
Sirui Yao, Bert Huang
Beyond Parity: Fairness Objectives for Collaborative Filtering. NIPS (2017)
Walid Chaabene, Bert Huang
Online Edge Grafting for Efficient MRF Structure Learning. CoRR (2017)
Shuangfei Fan, Bert Huang
Recurrent Collective Classification. CoRR (2017)
Elaheh Raisi, Bert Huang
Cyberbullying Detection with Weakly Supervised Machine Learning. ASONAM (2017)
Ben London, Bert Huang, Lise Getoor
Stability and Generalization in Structured Prediction. J. Mach. Learn. Res. 17 (2016)
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) (2016)
Elaheh Raisi, Bert Huang
Cyberbullying Identification Using Participant-Vocabulary Consistency. CoRR (2016)
Bert Huang
A Weakly Supervised Approach for Adaptive Detection of Cyberbullying Roles. CyberSafety@CIKM (2016)
Dhanya Sridhar, James R. Foulds, Bert Huang, Lise Getoor, Marilyn A. Walker
Joint Models of Disagreement and Stance in Online Debate. ACL (1) (2015)
Stephen H. Bach, Bert Huang, Lise Getoor
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees. AISTATS (2015)
Ben London, Bert Huang, Lise Getoor
The Benefits of Learning with Strongly Convex Approximate Inference. ICML (2015)
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)
Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic. CoRR (2015)
Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan
Planned Protest Modeling in News and Social Media. AAAI (2015)
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 (2014)
Ben London, Bert Huang, Ben Taskar, Lise Getoor
PAC-Bayesian Collective Stability. AISTATS (2014)
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
Learning Latent Engagement Patterns of Students in Online Courses. AAAI (2014)
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)
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
Understanding MOOC Discussion Forums using Seeded LDA. BEA@ACL (2014)
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)
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) (2014)
Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
Uncovering hidden engagement patterns for predicting learner performance in MOOCs. L@S (2014)
Hui Miao, Xiangyang Liu, Bert Huang, Lise Getoor
A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization. CoRR (2013)
Hui Miao, Xiangyang Liu, Bert Huang, Lise Getoor
A hypergraph-partitioned vertex programming approach for large-scale consensus optimization. IEEE BigData (2013)
Stephen H. Bach, Bert Huang, Ben London, Lise Getoor
Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. CoRR (2013)
Ben London, Theodoros Rekatsinas, Bert Huang, Lise Getoor
Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss CoRR (2013)
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)
Stephen H. Bach, Bert Huang, Ben London, Lise Getoor
Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. UAI (2013)
Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck
A Flexible Framework for Probabilistic Models of Social Trust. SBP (2013)
Ben London, Bert Huang, Ben Taskar, Lise Getoor
Collective Stability in Structured Prediction: Generalization from One Example. ICML (3) (2013)
Ben London, Bert Huang, Lise Getoor
Graph-based Generalization Bounds for Learning Binary Relations CoRR (2013)
Michele Merler, Bert Huang, Lexing Xie, Gang Hua, Apostol Natsev
Semantic Model Vectors for Complex Video Event Recognition. IEEE Trans. Multim. 14 (1) (2012)
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) (2012)
Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck
Probabilistic Soft Logic for Trust Analysis in Social Networks. StarAI@UAI (2012)
Bert Huang, Tony Jebara
Fast b-matching via Sufficient Selection Belief Propagation. AISTATS (2011)
Blake Shaw, Bert Huang, Tony Jebara
Learning a Distance Metric from a Network. NIPS (2011)
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)
Bert Huang, Tony Jebara
Collaborative Filtering via Rating Concentration. AISTATS (2010)
Bert Huang, Ansaf Salleb-Aouissi, Philip Gross
Alive on Back-feed Culprit Identification via Machine Learning. ICMLA (2009)
Bert Huang, Ansaf Salleb-Aouissi
Maximum Entropy Density Estimation with Incomplete Presence-Only Data. AISTATS (2009)
Ansaf Salleb-Aouissi, Bert Huang, David L. Waltz
Discovering Characterization Rules from Rankings. ICMLA (2009)
Bert Huang, Tony Jebara
Approximating the Permanent with Belief Propagation CoRR (2009)
Bert Huang, Tony Jebara
Exact Graph Structure Estimation with Degree Priors. ICMLA (2009)
Ansaf Salleb-Aouissi, Bert Huang, David L. Waltz
Vers des Machines à Vecteurs Support "Actionnables" : Une Approche Fondée sur le Classement. EGC (2008)
Bert Huang, Tony Jebara
Loopy Belief Propagation for Bipartite Maximum Weight b-Matching. AISTATS (2007)