Yoni Halpern

According to our database, Yoni Halpern authored at least 24 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization.

Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost

CoRR, 2023

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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Causally motivated shortcut removal using auxiliary labels.

Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Measuring Recommender System Effects with Simulated Users.

Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel

CoRR, 2021

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

Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models.

Rares-Darius Buhai, Yoni Halpern, Yoon Kim, Andrej Risteski, David A. Sontag

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Proceedings of the FAT* '20: Conference on Fairness, 2020

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

Fair treatment allocations in social networks.

James Atwood, Hansa Srinivasan, Yoni Halpern, David Sculley

CoRR, 2019

Benefits of Overparameterization in Single-Layer Latent Variable Generative Models.

Rares-Darius Buhai, Andrej Risteski, Yoni Halpern, David A. Sontag

CoRR, 2019

2018

BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity.

Alexey A. Gritsenko, Alex D'Amour, James Atwood, Yoni Halpern, D. Sculley

CoRR, 2018

Learning topic models - provably and efficiently.

Sanjeev Arora, Rong Ge, Yoni Halpern, David M. Mimno, Ankur Moitra, David A. Sontag, Yichen Wu, Michael Zhu

Commun. ACM, 2018

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

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network.

Juan M. Banda, Yoni Halpern, David A. Sontag, Nigam Shah

Proceedings of the Summit on Clinical Research Informatics, 2017

2016

Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine.

Yoni Halpern

PhD thesis, 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

Clinical Tagging with Joint Probabilistic Models.

Yoni Halpern, Steven Horng, David A. Sontag

Proceedings of the 1st Machine Learning in Health Care, 2016

Contextual Prediction Models for Speech Recognition.

Yoni Halpern, Keith B. Hall, Vlad Schogol, Michael Riley, Brian Roark, Gleb Skobeltsyn, Martin Bäuml

Proceedings of the Interspeech 2016, 2016

2015

Anchored Discrete Factor Analysis.

Yoni Halpern, Steven Horng, David A. Sontag

CoRR, 2015

2014

Using Anchors to Estimate Clinical State without Labeled Data.

Yoni Halpern, Youngduck Choi, Steven Horng, David A. Sontag

Proceedings of the AMIA 2014, 2014

2013

Unsupervised Learning of Noisy-Or Bayesian Networks.

Yonatan Halpern, David A. Sontag

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests.

Yacine Jernite, Yonatan Halpern, David A. Sontag

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

A Practical Algorithm for Topic Modeling with Provable Guarantees.

Sanjeev Arora, Rong Ge, Yonatan Halpern, David M. Mimno, Ankur Moitra, David A. Sontag, Yichen Wu, Michael Zhu

Proceedings of the 30th International Conference on Machine Learning, 2013

2011

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