papers
Publications (14)
cs.LG2018
Block Belief Propagation for Parameter Learning in Markov Random Fields
You Lu, Zhiyuan Liu, Bert Huang
cs.LG2017
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic
Stephen H. Bach, Matthias Broecheler, Bert Huang +1
cs.LG2013
Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss
Ben London, Theodoros Rekatsinas, Bert Huang +1
cs.LG2019
Adversarial Label Learning
Chidubem Arachie, Bert Huang
cs.CY2017
New Fairness Metrics for Recommendation that Embrace Differences
Sirui Yao, Bert Huang
cs.IR2017
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao, Bert Huang
cs.AI2013
A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization
Hui Miao, Xiangyang Liu, Bert Huang +1
cs.LG2013
Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction
Stephen Bach, Bert Huang, Ben London +1
cs.SI2014
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators
Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah +27
cs.SI2016
Cyberbullying Identification Using Participant-Vocabulary Consistency
Elaheh Raisi, Bert Huang
cs.LG2009
Approximating the Permanent with Belief Propagation
Bert Huang, Tony Jebara
cs.LG2018
Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields
Walid Chaabene, Bert Huang
cs.LG2017
Recurrent Collective Classification
Shuangfei Fan, Bert Huang
cs.LG2013
Graph-based Generalization Bounds for Learning Binary Relations
Ben London, Bert Huang, Lise Getoor