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ORCIDYoni Halpern
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- affiliation: Google Inc., Cambridge, MA, USA
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2020 – today
- 2024
[c13]Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost:
FRAPPÉ: A Group Fairness Framework for Post-Processing Everything. ICML 2024- 2023
- [c12]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:
Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders. RecSys 2023: 1049-1053 - [i11]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:
Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders. CoRR abs/2308.12256 (2023) - [i10]Alexandru Tifrea, Preethi Lahoti, Ben Packer, Yoni Halpern, Ahmad Beirami, Flavien Prost:
FRAPPÉ: A Post-Processing Framework for Group Fairness Regularization. CoRR abs/2312.02592 (2023) - 2022
- [c11]Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour:
Causally motivated shortcut removal using auxiliary labels. AISTATS 2022: 739-766 - 2021
- [i9]Sirui Yao, Yoni Halpern, Nithum Thain, Xuezhi Wang, Kang Lee, Flavien Prost, Ed H. Chi, Jilin Chen, Alex Beutel:
Measuring Recommender System Effects with Simulated Users. CoRR abs/2101.04526 (2021) - [i8]Maggie Makar, Ben Packer, Dan Moldovan, Davis W. Blalock, Yoni Halpern, Alexander D'Amour:
Causally-motivated Shortcut Removal Using Auxiliary Labels. CoRR abs/2105.06422 (2021) - 2020
- [j5]Colby Redfield, Abdulhakim Tlimat, Yoni Halpern, David W. Schoenfeld, Edward Ullman, David A. Sontag, Larry A. Nathanson, Steven Horng:
Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department. J. Am. Medical Informatics Assoc. 27(1): 147-153 (2020) - [c10]Alexander D'Amour, Hansa Srinivasan, James Atwood, Pallavi Baljekar, D. Sculley, Yoni Halpern:
Fairness is not static: deeper understanding of long term fairness via simulation studies. FAT* 2020: 525-534 - [c9]Rares-Darius Buhai, Yoni Halpern, Yoon Kim, Andrej Risteski, David A. Sontag:
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models. ICML 2020: 1211-1219
2010 – 2019
- 2019
- [j4]Nathaniel R. Greenbaum, Yacine Jernite, Yoni Halpern, Shelley Calder, Larry A. Nathanson, David A. Sontag, Steven Horng:
Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces. Int. J. Medical Informatics 132 (2019) - [i7]Rares-Darius Buhai, Andrej Risteski, Yoni Halpern, David A. Sontag:
Benefits of Overparameterization in Single-Layer Latent Variable Generative Models. CoRR abs/1907.00030 (2019) - [i6]James Atwood, Hansa Srinivasan, Yoni Halpern, David Sculley:
Fair treatment allocations in social networks. CoRR abs/1911.05489 (2019) - 2018
- [j3]Sanjeev Arora, Rong Ge, Yoni Halpern, David M. Mimno, Ankur Moitra, David A. Sontag, Yichen Wu, Michael Zhu:
Learning topic models - provably and efficiently. Commun. ACM 61(4): 85-93 (2018) - [i5]Alexey A. Gritsenko, Alex D'Amour, James Atwood, Yoni Halpern, D. Sculley:
BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity. CoRR abs/1812.06869 (2018) - 2017
- [c8]Juan M. Banda, Yoni Halpern, David A. Sontag, Nigam Shah:
Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network. CRI 2017 - [c7]Yaniv Ovadia, Yoni Halpern, Dilip Krishnan, Josh Livni, Daniel E. Newburger, Ryan Poplin, Tiantian Zha, D. Sculley:
Learning to Count Mosquitoes for the Sterile Insect Technique. KDD 2017: 1943-1949 - 2016
- [b1]Yoni Halpern:
Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine. New York University, USA, 2016 - [j2]Yoni Halpern, Steven Horng, Youngduck Choi, David A. Sontag:
Electronic medical record phenotyping using the anchor and learn framework. J. Am. Medical Informatics Assoc. 23(4): 731-740 (2016) - [c6]Yoni Halpern, Keith B. Hall, Vlad Schogol, Michael Riley, Brian Roark, Gleb Skobeltsyn, Martin Bäuml:
Contextual Prediction Models for Speech Recognition. INTERSPEECH 2016: 2338-2342 - [c5]Yoni Halpern, Steven Horng, David A. Sontag:
Clinical Tagging with Joint Probabilistic Models. MLHC 2016: 209-225 - [i4]Yoni Halpern, Steven Horng, David A. Sontag:
Clinical Tagging with Joint Probabilistic Models. CoRR abs/1608.00686 (2016) - 2015
- [i3]Yoni Halpern, Steven Horng, David A. Sontag:
Anchored Discrete Factor Analysis. CoRR abs/1511.03299 (2015) - 2014
- [c4]Yoni Halpern, Youngduck Choi, Steven Horng, David A. Sontag:
Using Anchors to Estimate Clinical State without Labeled Data. AMIA 2014 - 2013
- [c3]Sanjeev Arora, Rong Ge, Yonatan Halpern, David M. Mimno, Ankur Moitra, David A. Sontag, Yichen Wu, Michael Zhu:
A Practical Algorithm for Topic Modeling with Provable Guarantees. ICML (2) 2013: 280-288 - [c2]Yacine Jernite, Yonatan Halpern, David A. Sontag:
Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests. NIPS 2013: 2355-2363 - [c1]Yonatan Halpern, David A. Sontag:
Unsupervised Learning of Noisy-Or Bayesian Networks. UAI 2013 - [i2]Yonatan Halpern, David A. Sontag:
Unsupervised Learning of Noisy-Or Bayesian Networks. CoRR abs/1309.6834 (2013) - 2012
- [i1]Sanjeev Arora, Rong Ge, Yoni Halpern, David M. Mimno, Ankur Moitra, David A. Sontag, Yichen Wu, Michael Zhu:
A Practical Algorithm for Topic Modeling with Provable Guarantees. CoRR abs/1212.4777 (2012) - 2011
- [j1]Keith Yu Kit Leung, Yoni Halpern, Timothy D. Barfoot, Hugh H. T. Liu:
The UTIAS multi-robot cooperative localization and mapping dataset. Int. J. Robotics Res. 30(8): 969-974 (2011)
Coauthor Index
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