Bert Huang - RankMe

80 papers A* 9A 10B 3C 3Journal 34Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Weakly supervised label learning flows. Neural Networks You Lu, Wenzhuo Song, Chidubem Arachie, Bert Huang
2023	J	`jnl`	Weakly Supervised Label Learning Flows. CoRR You Lu, Chidubem Arachie, Bert Huang
2022	J	`jnl`	Data Consistency for Weakly Supervised Learning. CoRR Chidubem Arachie, Bert Huang
2022	A	`conf`	Firebolt: Weak Supervision Under Weaker Assumptions. AISTATS Zhaobin Kuang, Chidubem G. Arachie, Bangyong Liang, Pradyumna Narayana, Giulia DeSalvo, Michael S. Quinn, Bert Huang, Geoffrey Downs, Yang Yang
2021	J	`jnl`	A General Framework for Adversarial Label Learning. J. Mach. Learn. Res. Chidubem Arachie, Bert Huang
2021	A	`conf`	Constrained labeling for weakly supervised learning. UAI Chidubem Arachie, Bert Huang
2021	—	`conf`	Personalized Regularization Learning for Fairer Matrix Factorization. PAKDD (2) Sirui Yao, Bert Huang
2020	—	`conf`	Attention-Based Graph Evolution. PAKDD (1) Shuangfei Fan, Bert Huang
2020	J	`jnl`	Constrained Labeling for Weakly Supervised Learning. CoRR Chidubem Arachie, Bert Huang
2020	J	`jnl`	Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields. IEEE Trans. Learn. Technol. Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
2020	J	`jnl`	Preconditions for guardianship interventions in cyberbullying: Incident interpretation, collective and automated efficacy, and relative popularity of bullies. Comput. Hum. Behav. Leanna Ireland, James Hawdon, Bert Huang, Anthony Peguero
2020	A*	`conf`	Structured Output Learning with Conditional Generative Flows. AAAI You Lu, Bert Huang
2020	A*	`conf`	Woodbury Transformations for Deep Generative Flows. NeurIPS You Lu, Bert Huang
2020	J	`jnl`	Woodbury Transformations for Deep Generative Flows. CoRR You Lu, Bert Huang
2019	J	`jnl`	Active Learning by Greedy Split and Label Exploration. CoRR Alyssa Herbst, Bert Huang
2019	A*	`conf`	Adversarial Label Learning. AAAI Chidubem Arachie, Bert Huang
2019	J	`jnl`	An Adaptable Framework for Deep Adversarial Label Learning from Weak Supervision. CoRR Chidubem Arachie, Bert Huang
2019	A*	`conf`	Block Belief Propagation for Parameter Learning in Markov Random Fields. AAAI You Lu, Zhiyuan Liu, Bert Huang
2019	—	`conf`	Deep Generative Models for Generating Labeled Graphs. DGS@ICLR Shuangfei Fan, Bert Huang
2019	J	`jnl`	Labeled Graph Generative Adversarial Networks. CoRR Shuangfei Fan, Bert Huang
2019	J	`jnl`	Recurrent collective classification. Knowl. Inf. Syst. Shuangfei Fan, Bert Huang
2019	—	`conf`	Reduced-Bias Co-trained Ensembles for Weakly Supervised Cyberbullying Detection. CSoNet Elaheh Raisi, Bert Huang
2019	J	`jnl`	Structured Output Learning with Conditional Generative Flows. CoRR You Lu, Bert Huang
2018	J	`jnl`	Adversarial Labeling for Learning without Labels. CoRR Chidubem Arachie, Bert Huang
2018	—	`conf`	Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields. IEEE BigData Walid Chaabene, Bert Huang
2018	J	`jnl`	Block Belief Propagation for Parameter Learning in Markov Random Fields. CoRR You Lu, Zhiyuan Liu, Bert Huang
2018	—	`conf`	International Workshop on Cybersafety Chairs' Welcome & Organization. WWW (Companion Volume) Richard Han, Jeremy Blackburn, Homa Hosseinmardi, Qin Lv, Bert Huang, Shivakant Mishra
2018	—	`conf`	Smart HVAC Systems - Adjustable Airflow Direction. EG-ICE Milad Abedi, Farrokh Jazizadeh, Bert Huang, Francine Battaglia
2018	A	`conf`	Sparse-Matrix Belief Propagation. UAI Reid Bixler, Bert Huang
2018	B	`conf`	Weakly Supervised Cyberbullying Detection Using Co-Trained Ensembles of Embedding Models. ASONAM Elaheh Raisi, Bert Huang
2018	J	`jnl`	Weakly supervised cyberbullying detection with participant-vocabulary consistency. Soc. Netw. Anal. Min. Elaheh Raisi, Bert Huang
2017	—	`conf`	Beyond Parity: Fairness Objectives for Collaborative Filtering. NIPS Sirui Yao, Bert Huang
2017	J	`jnl`	Beyond Parity: Fairness Objectives for Collaborative Filtering. CoRR Sirui Yao, Bert Huang
2017	B	`conf`	Cyberbullying Detection with Weakly Supervised Machine Learning. ASONAM Elaheh Raisi, Bert Huang
2017	J	`jnl`	Hinge-Loss Markov Random Fields and Probabilistic Soft Logic. J. Mach. Learn. Res. Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor
2017	J	`jnl`	New Fairness Metrics for Recommendation that Embrace Differences. CoRR Sirui Yao, Bert Huang
2017	J	`jnl`	Online Edge Grafting for Efficient MRF Structure Learning. CoRR Walid Chaabene, Bert Huang
2017	J	`jnl`	Recurrent Collective Classification. CoRR Shuangfei Fan, Bert Huang
2016	—	`conf`	A Weakly Supervised Approach for Adaptive Detection of Cyberbullying Roles. CyberSafety@CIKM Bert Huang
2016	J	`jnl`	Capturing Planned Protests from Open Source Indicators. AI Mag. Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan
2016	J	`jnl`	Cyberbullying Identification Using Participant-Vocabulary Consistency. CoRR Elaheh Raisi, Bert Huang
2016	J	`jnl`	Stability and Generalization in Structured Prediction. J. Mach. Learn. Res. Ben London, Bert Huang, Lise Getoor
2015	J	`jnl`	Hinge-Loss Markov Random Fields and Probabilistic Soft Logic. CoRR Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor
2015	—	`conf`	Joint Models of Disagreement and Stance in Online Debate. ACL (1) Dhanya Sridhar, James R. Foulds, Bert Huang, Lise Getoor, Marilyn A. Walker
2015	A*	`conf`	Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs. ICML Stephen H. Bach, Bert Huang, Jordan L. Boyd-Graber, Lise Getoor
2015	A*	`conf`	Planned Protest Modeling in News and Social Media. AAAI Sathappan Muthiah, Bert Huang, Jaime Arredondo, David Mares, Lise Getoor, Graham Katz, Naren Ramakrishnan
2015	A*	`conf`	The Benefits of Learning with Strongly Convex Approximate Inference. ICML Ben London, Bert Huang, Lise Getoor
2015	A	`conf`	Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees. AISTATS Stephen H. Bach, Bert Huang, Lise Getoor
2014	J	`jnl`	'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators. CoRR 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
2014	A*	`conf`	'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. KDD 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
2014	—	`conf`	Discovering evolving political vocabulary in social media. BESC Aravindan Mahendiran, Wei Wang, Jaime Arredondo Sanchez Lira, Bert Huang, Lise Getoor, David Mares, Naren Ramakrishnan
2014	A*	`conf`	Learning Latent Engagement Patterns of Students in Online Courses. AAAI Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
2014	J	`jnl`	Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic. IEEE ACM Trans. Comput. Biol. Bioinform. Shobeir Fakhraei, Bert Huang, Louiqa Raschid, Lise Getoor
2014	A	`conf`	PAC-Bayesian Collective Stability. AISTATS Ben London, Bert Huang, Ben Taskar, Lise Getoor
2014	B	`conf`	Uncovering hidden engagement patterns for predicting learner performance in MOOCs. L@S Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
2014	—	`conf`	Understanding MOOC Discussion Forums using Seeded LDA. BEA@ACL Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daumé III, Lise Getoor
2013	—	`conf`	A Flexible Framework for Probabilistic Models of Social Trust. SBP Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck
2013	J	`jnl`	A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization. CoRR Hui Miao, Xiangyang Liu, Bert Huang, Lise Getoor
2013	—	`conf`	A hypergraph-partitioned vertex programming approach for large-scale consensus optimization. IEEE BigData Hui Miao, Xiangyang Liu, Bert Huang, Lise Getoor
2013	—	`conf`	Collective Activity Detection Using Hinge-loss Markov Random Fields. CVPR Workshops Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry S. Davis
2013	—	`conf`	Collective Stability in Structured Prediction: Generalization from One Example. ICML (3) Ben London, Bert Huang, Ben Taskar, Lise Getoor
2013	J	`jnl`	Graph-based Generalization Bounds for Learning Binary Relations CoRR Ben London, Bert Huang, Lise Getoor
2013	A	`conf`	Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. UAI Stephen H. Bach, Bert Huang, Ben London, Lise Getoor
2013	J	`jnl`	Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. CoRR Stephen H. Bach, Bert Huang, Ben London, Lise Getoor
2013	J	`jnl`	Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss CoRR Ben London, Theodoros Rekatsinas, Bert Huang, Lise Getoor
2012	J	`jnl`	Machine Learning for theNew York City Power Grid. IEEE Trans. Pattern Anal. Mach. Intell. Cynthia Rudin, David L. Waltz, Roger Anderson, Albert Boulanger, Ansaf Salleb-Aouissi, Maggie Chow, Haimonti Dutta, Philip Gross, Bert Huang, Steve Ierome
2012	—	`conf`	Probabilistic Soft Logic for Trust Analysis in Social Networks. StarAI@UAI Bert Huang, Angelika Kimmig, Lise Getoor, Jennifer Golbeck
2012	J	`jnl`	Semantic Model Vectors for Complex Video Event Recognition. IEEE Trans. Multim. Michele Merler, Bert Huang, Lexing Xie, Gang Hua, Apostol Natsev
2011	A	`conf`	Fast b-matching via Sufficient Selection Belief Propagation. AISTATS Bert Huang, Tony Jebara
2011	—	`conf`	Learning a Distance Metric from a Network. NIPS Blake Shaw, Bert Huang, Tony Jebara
2011	—	`—`	Learning with Degree-Based Subgraph Estimation. Bert Huang
2010	A	`conf`	Collaborative Filtering via Rating Concentration. AISTATS Bert Huang, Tony Jebara
2010	—	`conf`	IBM Research TRECVID-2010 Video Copy Detection and Multimedia Event Detection System. TRECVID Matthew L. Hill, Gang Hua, Apostol Natsev, John R. Smith, Lexing Xie, Bert Huang, Michele Merler, Hua Ouyang, Mingyuan Zhou
2009	C	`conf`	Alive on Back-feed Culprit Identification via Machine Learning. ICMLA Bert Huang, Ansaf Salleb-Aouissi, Philip Gross
2009	J	`jnl`	Approximating the Permanent with Belief Propagation CoRR Bert Huang, Tony Jebara
2009	C	`conf`	Discovering Characterization Rules from Rankings. ICMLA Ansaf Salleb-Aouissi, Bert Huang, David L. Waltz
2009	C	`conf`	Exact Graph Structure Estimation with Degree Priors. ICMLA Bert Huang, Tony Jebara
2009	A	`conf`	Maximum Entropy Density Estimation with Incomplete Presence-Only Data. AISTATS Bert Huang, Ansaf Salleb-Aouissi
2008	—	`conf`	Vers des Machines à Vecteurs Support "Actionnables" : Une Approche Fondée sur le Classement. EGC Ansaf Salleb-Aouissi, Bert Huang, David L. Waltz
2007	A	`conf`	Loopy Belief Propagation for Bipartite Maximum Weight b-Matching. AISTATS Bert Huang, Tony Jebara