Bach, Stephen H.

10 publications

AISTATS 2022 Learning from Multiple Noisy Partial Labelers Peilin Yu, Tiffany Ding, Stephen H. Bach

ICML 2021 Adversarial Multi Class Learning Under Weak Supervision with Performance Guarantees Alessio Mazzetto, Cyrus Cousins, Dylan Sam, Stephen H Bach, Eli Upfal

CVPRW 2020 Selecting Auxiliary Data Using Knowledge Graphs for Image Classification with Limited Labels Elaheh Raisi, Stephen H. Bach

AAAI 2020 Weakly Supervised Sequence Tagging from Noisy Rules Esteban Safranchik, Shiying Luo, Stephen H. Bach

JMLR 2017 Hinge-Loss Markov Random Fields and Probabilistic Soft Logic Stephen H. Bach, Matthias Broecheler, Bert Huang, Lise Getoor

ICML 2017 Learning the Structure of Generative Models Without Labeled Data Stephen H. Bach, Bryan He, Alexander Ratner, Christopher Ré

MLJ 2017 Soft Quantification in Statistical Relational Learning Golnoosh Farnadi, Stephen H. Bach, Marie-Francine Moens, Lise Getoor, Martine De Cock

AISTATS 2015 Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees Stephen H. Bach, Bert Huang, Lise Getoor

CVPRW 2013 Collective Activity Detection Using Hinge-Loss Markov Random Fields Ben London, Sameh Khamis, Stephen H. Bach, Bert Huang, Lise Getoor, Larry S. Davis

UAI 2013 Hinge-Loss Markov Random Fields: Convex Inference for Structured Prediction Stephen H. Bach, Bert Huang, Ben London, Lise Getoor