The UTIAS multi-robot cooperative localization and mapping dataset. - Keith Yu Kit Leung; Yoni Halpern; Timothy D. Barfoot; Hugh H. T. Liu (Int. J. Robotics Res., 2011)

A Practical Algorithm for Topic Modeling with Provable Guarantees. - Sanjeev Arora; Rong Ge 001; Yonatan Halpern; David M. Mimno; Ankur Moitra; David A. Sontag; Yichen Wu; Michael Zhu (ICML (2), 2013)

Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests. - Yacine Jernite; Yonatan Halpern; David A. Sontag (NIPS, 2013)

Unsupervised Learning of Noisy-Or Bayesian Networks. - Yonatan Halpern; David A. Sontag (UAI, 2013)

Using Anchors to Estimate Clinical State without Labeled Data. - Yoni Halpern; Youngduck Choi; Steven Horng; David A. Sontag (AMIA, 2014)

Anchored Discrete Factor Analysis. - Yoni Halpern; Steven Horng; David A. Sontag (CoRR, 2015)

Contextual Prediction Models for Speech Recognition. - Yoni Halpern; Keith B. Hall; Vlad Schogol; Michael Riley 001; Brian Roark; Gleb Skobeltsyn; Martin Bäuml (INTERSPEECH, 2016)

Clinical Tagging with Joint Probabilistic Models. - Yoni Halpern; Steven Horng; David A. Sontag (MLHC, 2016)

Electronic medical record phenotyping using the anchor and learn framework. - Yoni Halpern; Steven Horng; Youngduck Choi; David A. Sontag (J. Am. Medical Informatics Assoc., 2016)

Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine. - Yoni Halpern (2016)

Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network. - Juan M. Banda; Yoni Halpern; David A. Sontag; Nigam Shah (CRI, 2017)

Learning to Count Mosquitoes for the Sterile Insect Technique. - Yaniv Ovadia; Yoni Halpern; Dilip Krishnan; Josh Livni; Daniel E. Newburger; Ryan Poplin; Tiantian Zha; D. Sculley (KDD, 2017)

Learning topic models - provably and efficiently. - Sanjeev Arora; Rong Ge 001; Yoni Halpern; David M. Mimno; Ankur Moitra; David A. Sontag; Yichen Wu; Michael Zhu (Commun. ACM, 2018)

BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity. - Alexey A. Gritsenko; Alex D'Amour; James Atwood; Yoni Halpern; D. Sculley (CoRR, 2018)

Benefits of Overparameterization in Single-Layer Latent Variable Generative Models. - Rares-Darius Buhai; Andrej Risteski; Yoni Halpern; David A. Sontag (CoRR, 2019)

Fair treatment allocations in social networks. - James Atwood; Hansa Srinivasan; Yoni Halpern; David Sculley (CoRR, 2019)

Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces. - Nathaniel R. Greenbaum; Yacine Jernite; Yoni Halpern; Shelley Calder; Larry A. Nathanson; David A. Sontag; Steven Horng (Int. J. Medical Informatics, 2019)

Fairness is not static: deeper understanding of long term fairness via simulation studies. - Alexander D'Amour; Hansa Srinivasan; James Atwood; Pallavi Baljekar; D. Sculley; Yoni Halpern (FAT*, 2020)

Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models. - Rares-Darius Buhai; Yoni Halpern; Yoon Kim; Andrej Risteski; David A. Sontag (ICML, 2020)

Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department. - Colby Redfield; Abdulhakim Tlimat; Yoni Halpern; David W. Schoenfeld; Edward Ullman; David A. Sontag; Larry A. Nathanson; Steven Horng (J. Am. Medical Informatics Assoc., 2020)

Measuring Recommender System Effects with Simulated Users. - Sirui Yao; Yoni Halpern; Nithum Thain; Xuezhi Wang 002; Kang Lee; Flavien Prost; Ed H. Chi; Jilin Chen; Alex Beutel (CoRR, 2021)

Causally motivated shortcut removal using auxiliary labels. - Maggie Makar; Ben Packer; Dan Moldovan; Davis W. Blalock; Yoni Halpern; Alexander D'Amour (AISTATS, 2022)

Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders. - Yueqi Wang; Yoni Halpern; Shuo Chang; Jingchen Feng; Elaine Ya Le; Longfei Li; Xujian Liang; Min-Cheng Huang; Shane Li; Alex Beutel; Yaping Zhang; Shuchao Bi (RecSys, 2023)

FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization. - Alexandru Tifrea; Preethi Lahoti; Ben Packer; Yoni Halpern; Ahmad Beirami; Flavien Prost (CoRR, 2023)

FRAPPÉ: A Group Fairness Framework for Post-Processing Everything. - Alexandru Tifrea; Preethi Lahoti; Ben Packer; Yoni Halpern; Ahmad Beirami; Flavien Prost (ICML, 2024)