Bert Huang

According to our database, Bert Huang authored at least 69 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

Weakly Supervised Label Learning Flows.

You Lu, Chidubem Arachie, Bert Huang

CoRR, 2023

2022

Data Consistency for Weakly Supervised Learning.

Chidubem Arachie, Bert Huang

CoRR, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

A General Framework for Adversarial Label Learning.

Chidubem Arachie, Bert Huang

J. Mach. Learn. Res., 2021

Constrained labeling for weakly supervised learning.

Chidubem Arachie, Bert Huang

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Personalized Regularization Learning for Fairer Matrix Factorization.

Sirui Yao, Bert Huang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

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

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

Attention-Based Graph Evolution.

Shuangfei Fan, Bert Huang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Woodbury Transformations for Deep Generative Flows.

You Lu, Bert Huang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Structured Output Learning with Conditional Generative Flows.

You Lu, Bert Huang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Recurrent collective classification.

Shuangfei Fan, Bert Huang

Knowl. Inf. Syst., 2019

Active Learning by Greedy Split and Label Exploration.

Alyssa Herbst, Bert Huang

CoRR, 2019

Labeled Graph Generative Adversarial Networks.

Shuangfei Fan, Bert Huang

CoRR, 2019

An Adaptable Framework for Deep Adversarial Label Learning from Weak Supervision.

Chidubem Arachie, Bert Huang

CoRR, 2019

Deep Generative Models for Generating Labeled Graphs.

Shuangfei Fan, Bert Huang

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Reduced-Bias Co-trained Ensembles for Weakly Supervised Cyberbullying Detection.

Elaheh Raisi, Bert Huang

Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019

Block Belief Propagation for Parameter Learning in Markov Random Fields.

You Lu, Zhiyuan Liu, Bert Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Adversarial Label Learning.

Chidubem Arachie, Bert Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Weakly supervised cyberbullying detection with participant-vocabulary consistency.

Elaheh Raisi, Bert Huang

Soc. Netw. Anal. Min., 2018

Adversarial Labeling for Learning without Labels.

Chidubem Arachie, Bert Huang

CoRR, 2018

International Workshop on Cybersafety Chairs' Welcome & Organization.

Richard Han, Jeremy Blackburn, Homa Hosseinmardi, Qin Lv, Bert Huang, Shivakant Mishra

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Sparse-Matrix Belief Propagation.

Reid Bixler, Bert Huang

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Smart HVAC Systems - Adjustable Airflow Direction.

Milad Abedi, Farrokh Jazizadeh, Bert Huang, Francine Battaglia

Proceedings of the Advanced Computing Strategies for Engineering, 2018

Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields.

Walid Chaabene, Bert Huang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Weakly Supervised Cyberbullying Detection Using Co-Trained Ensembles of Embedding Models.

Elaheh Raisi, Bert Huang

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

Hinge-Loss Markov Random Fields and Probabilistic Soft Logic.

Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor

J. Mach. Learn. Res., 2017

New Fairness Metrics for Recommendation that Embrace Differences.

Sirui Yao, Bert Huang

CoRR, 2017

Online Edge Grafting for Efficient MRF Structure Learning.

Walid Chaabene, Bert Huang

CoRR, 2017

Beyond Parity: Fairness Objectives for Collaborative Filtering.

Sirui Yao, Bert Huang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Cyberbullying Detection with Weakly Supervised Machine Learning.

Elaheh Raisi, Bert Huang

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

Stability and Generalization in Structured Prediction.

Ben London, Bert Huang, Lise Getoor

J. Mach. Learn. Res., 2016

Cyberbullying Identification Using Participant-Vocabulary Consistency.

Elaheh Raisi, Bert Huang

CoRR, 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

A Weakly Supervised Approach for Adaptive Detection of Cyberbullying Roles.

Bert Huang

Proceedings of the First International Workshop on Computational Methods for CyberSafety, 2016

2015

The Benefits of Learning with Strongly Convex Approximate Inference.

Ben London, Bert Huang, Lise Getoor

Proceedings of the 32nd International Conference on Machine Learning, 2015

Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs.

Stephen H. Bach, Bert Huang, Jordan L. Boyd-Graber, Lise Getoor

Proceedings of the 32nd International Conference on Machine Learning, 2015

Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees.

Stephen H. Bach, Bert Huang, Lise Getoor

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Joint Models of Disagreement and Stance in Online Debate.

Dhanya Sridhar, James R. Foulds, Bert Huang, Lise Getoor, Marilyn A. Walker

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Planned Protest Modeling in News and Social Media.

Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

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

Uncovering hidden engagement patterns for predicting learner performance in MOOCs.

Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 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, 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

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Discovering evolving political vocabulary in social media.

Aravindan Mahendiran, Wei Wang, Jaime Arredondo Sanchez Lira, Bert Huang, Lise Getoor, David Mares, Naren Ramakrishnan

Proceedings of the 2014 International Conference on Behavioral, 2014

Understanding MOOC Discussion Forums using Seeded LDA.

Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor

Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications, 2014

PAC-Bayesian Collective Stability.

Ben London, Bert Huang, Ben Taskar, Lise Getoor

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Learning Latent Engagement Patterns of Students in Online Courses.

Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss

Ben London, Theodoros Rekatsinas, Bert Huang, Lise Getoor

CoRR, 2013

Graph-based Generalization Bounds for Learning Binary Relations

Ben London, Bert Huang, Lise Getoor

CoRR, 2013

Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction.

Stephen H. Bach, Bert Huang, Ben London, Lise Getoor

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

A Flexible Framework for Probabilistic Models of Social Trust.

Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck

Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Collective Stability in Structured Prediction: Generalization from One Example.

Ben London, Bert Huang, Ben Taskar, Lise Getoor

Proceedings of the 30th International Conference on Machine Learning, 2013

Collective Activity Detection Using Hinge-loss Markov Random Fields.

Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry S. Davis

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

A hypergraph-partitioned vertex programming approach for large-scale consensus optimization.

Hui Miao, Xiangyang Liu, Bert Huang, Lise Getoor

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Semantic Model Vectors for Complex Video Event Recognition.

Michele Merler, Bert Huang, Lexing Xie, Gang Hua, Apostol Natsev

IEEE Trans. Multim., 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

Probabilistic Soft Logic for Trust Analysis in Social Networks.

Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck

Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

2011

Learning with Degree-Based Subgraph Estimation.

Bert Huang

PhD thesis, 2011

Fast b-matching via Sufficient Selection Belief Propagation.

Bert Huang, Tony Jebara

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Learning a Distance Metric from a Network.

Blake Shaw, Bert Huang, Tony Jebara

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Collaborative Filtering via Rating Concentration.

Bert Huang, Tony Jebara

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

IBM Research TRECVID-2010 Video Copy Detection and Multimedia Event Detection System.

Matthew L. Hill, Gang Hua, Apostol Natsev, John R. Smith, Lexing Xie, Bert Huang, Michele Merler, Hua Ouyang, Mingyuan Zhou

Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

2009

Maximum Entropy Density Estimation with Incomplete Presence-Only Data.

Bert Huang, Ansaf Salleb-Aouissi

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Approximating the Permanent with Belief Propagation

Bert Huang, Tony Jebara

CoRR, 2009

Discovering Characterization Rules from Rankings.

Ansaf Salleb-Aouissi, Bert Huang, David L. Waltz

Proceedings of the International Conference on Machine Learning and Applications, 2009

Alive on Back-feed Culprit Identification via Machine Learning.

Bert Huang, Ansaf Salleb-Aouissi, Philip Gross

Proceedings of the International Conference on Machine Learning and Applications, 2009

Exact Graph Structure Estimation with Degree Priors.

Bert Huang, Tony Jebara

Proceedings of the International Conference on Machine Learning and Applications, 2009

2008

Vers des Machines à Vecteurs Support "Actionnables" : Une Approche Fondée sur le Classement.

Ansaf Salleb-Aouissi, Bert Huang, David L. Waltz

Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2007

Loopy Belief Propagation for Bipartite Maximum Weight b-Matching.

Bert Huang, Tony Jebara

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007