Yoni Halpern

Google (United States) — United States

Computer Science · Physical Sciences

13h-index1.8kcitations30works0.02yr avg
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Research Topics

Topic Modeling(5), Electronic Health Records Systems(5), Bayesian Modeling and Causal Inference(5), Biomedical Text Mining and Ontologies(5), Nursing Diagnosis and Documentation(5)

Publications30 total

FRAPPE: A Group Fairness Framework for Post-Processing Everything
arXiv (Cornell University)·2023Open Access
Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders
2023· 7 citedOpen Access
Causally motivated Shortcut Removal Using Auxiliary Labels
arXiv (Cornell University)·2021· 8 citedOpen Access
Measuring Recommender System Effects with Simulated Users
arXiv (Cornell University)·2021· 21 citedOpen Access
Fairness is not static
2020· 154 citedOpen Access
The Inclusive Images Competition
˜The œSpringer series on challenges in machine learning·2019· 12 cited
Fair treatment allocations in social networks
arXiv (Cornell University)·2019· 1 citedOpen Access
Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces
International Journal of Medical Informatics·2019· 34 cited
Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department
Journal of the American Medical Informatics Association·2019· 26 citedOpen Access
Empirical Study of the Benefits of Overparameterization in Learning\n Latent Variable Models
arXiv (Cornell University)·2019· 13 citedOpen Access
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models
arXiv (Cornell University)·2019· 7 citedOpen Access
Benefits of Overparameterization in Single-Layer Latent Variable Generative Models.
arXiv (Cornell University)·2019· 4 citedOpen Access
BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity
arXiv (Cornell University)·2018· 1 citedOpen Access
Learning topic models -- provably and efficiently
Communications of the ACM·2018· 15 citedOpen Access
Text Embeddings Contain Bias. Here's Why That Matters.
2018· 6 cited
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World
arXiv (Cornell University)·2017· 175 citedOpen Access
Learning to Count Mosquitoes for the Sterile Insect Technique
2017· 6 citedOpen Access
Learning a Health Knowledge Graph from Electronic Medical Records
Scientific Reports·2017· 413 citedOpen Access
Contextual Autocomplete: A Novel User Interface Using Machine Learning to Improve Ontology Usage and Structured Data Capture for Presenting Problems in the Emergency Department
2017· 6 citedOpen Access
Derivation and Validation of a Record Linkage Algorithm between EMS and the Emergency Department
2017Open Access
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Frequent Co-authors

David Sontag(17), Steven Horng(10), D. Sculley(6), Larry Nathanson(5), James Atwood(5), Abdulhakim Tlimat(3), Yacine Jernite(3), Alexander D’Amour(3), Rares-Darius Buhai(3), Andrej Risteski(3), Ben Packer(3), Eric Breck(2), Youngduck Choi(2), Sanjeev Arora(2), David Mimno(2), Ankur Moitra(2), Yichen Wu(2), Michael Zhu(2), Hansa Srinivasan(2), Pallavi Baljekar(2)