Publications


Papers Under Review


Hinge-Loss Markov Random Fields and Probabilistic Soft Logic
Stephen H. Bach, Matthias Broecheler, Bert Huang, and Lise Getoor
ArXiv:1505.04406 [cs.LG]
[bibtex]



Peer-Reviewed Conference Papers


Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs
Stephen H. Bach*, Bert Huang*, Jordan Boyd-Graber, and Lise Getoor
International Conference on Machine Learning (ICML) 2015
[bibtex] [supplementary]

Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees
Stephen H. Bach, Bert Huang, and Lise Getoor
Artificial Intelligence and Statistics (AISTATS) 2015
Selected for oral presentation, 6% of submitted papers (27/442)
[bibtex] [supplementary]

Statistical Relational Learning with Soft Quantifiers
Golnoosh Farnadi, Stephen H. Bach, Marjon Blondeel, Marie-Francine Moens, Lise Getoor, Martine De Cock
International Conference on Inductive Logic Programming (ILP) 2015
Best Student Paper Award
[bibtex]

Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction
Stephen H. Bach, Bert Huang, Ben London, and Lise Getoor
Uncertainty in Artificial Intelligence (UAI) 2013
[bibtex]

Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization
Stephen H. Bach, Matthias Broecheler, Lise Getoor, and Dianne P. O’Leary
Advances in Neural Information Processing Systems (NIPS) 2012
[bibtex] [supplementary] [poster]

A Bayesian Approach to Concept Drift
Stephen H. Bach and Marcus A. Maloof
Advances in Neural Information Processing Systems (NIPS) 2010
[bibtex] [poster]

Paired Learners for Concept Drift
Stephen H. Bach* and Marcus A. Maloof*
IEEE International Conference on Data Mining (ICDM) 2008
[bibtex]

( * Equal Contributors)



Dissertation


Hinge-Loss Markov Random Fields and Probabilistic Soft Logic: A Scalable Approach to Structured Prediction
Stephen H. Bach
Ph.D. Dissertation
Larry S. Davis Doctoral Dissertation Award
[bibtex]



Workshop Papers


Rounding Guarantees for Message-Passing MAP Inference with Logical Dependencies, Stephen H. Bach, Bert Huang, Lise Getoor, NIPS Workshop on Discrete and Combinatorial Problems in Machine Learning (DISCML) 2014
[bibtex] [poster]

Probabilistic Soft Logic for Social Good, Stephen H. Bach, Bert Huang, Lise Getoor, KDD Workshop on Data Science for Social Good 2014
[bibtex] [poster]

Extending PSL with Fuzzy Quantifiers, Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock, International Workshop on Statistical Relational Artificial Intelligence (StaRAI) 2014
[bibtex]

Large-margin Structured Learning for Link Ranking, Stephen H. Bach, Bert Huang, and Lise Getoor, NIPS Workshop on Frontiers of Network Analysis: Methods, Models, and Applications 2013
Best Student Paper Award
[bibtex] [poster]

Learning Latent Groups with Hinge-loss Markov Random Fields, Stephen H. Bach, Bert Huang, and Lise Getoor, ICML Workshop on Inferning: Interactions between Inference and Learning 2013
[bibtex] [poster]

Collective Activity Detection using Hinge-loss Markov Random Fields, Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, and Larry Davis, CVPR Workshop on Structured Prediction: Tractability, Learning and Inference 2013
[bibtex]

Social Group Modeling with Probabilistic Soft Logic, Bert Huang, Stephen H. Bach, Eric Norris, Jay Pujara, and Lise Getoor, NIPS Workshop on Social Network and Social Media Analysis: Methods, Models, and Applications 2012
[bibtex]

A Short Introduction to Probabilistic Soft Logic, Angelika Kimmig, Stephen H. Bach, Matthias Broecheler, Bert Huang, and Lise Getoor, NIPS Workshop on Probabilistic Programming: Foundations and Applications 2012
[bibtex]

Graph Summarization in Annotated Data Using Probabilistic Soft Logic, Alex Memory, Angelika Kimmig, Stephen H. Bach, Louiqa Raschid, and Lise Getoor, International Workshop on Uncertainty Reasoning for the Semantic Web (URSW) 2012
[bibtex]

Decision-Driven Models with Probabilistic Soft Logic, Stephen H. Bach, Matthias Broecheler, Stanley Kok, and Lise Getoor, NIPS Workshop on Predictive Models in Personalized Medicine 2010
[bibtex] [poster]