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Causally-motivated Shortcut Removal Using Auxiliary Labels



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


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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

* Presented at Second Workshop on Fairness, Accountability, Transparency, Ethics and Society on the Web (FATES 2020) with the title "Beyond Next Step Bias: Trajectory Simulation for Understanding Recommender System Behavior" 

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Fair treatment allocations in social networks



James Atwood , Hansa Srinivasan , Yoni Halpern , D Sculley

* To appear in the Fair ML for Health workshop at NeurIPS 2019 

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Benefits of Overparameterization in Single-Layer Latent Variable Generative Models



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


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BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity



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

* 6 pages, 5 figures, NeurIPS Workshop on Ethical, Social and Governance Issues in AI 

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No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World



Shreya Shankar , Yoni Halpern , Eric Breck , James Atwood , Jimbo Wilson , D. Sculley

* Presented at NIPS 2017 Workshop on Machine Learning for the Developing World 

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Clinical Tagging with Joint Probabilistic Models



Yoni Halpern , Steven Horng , David Sontag

* Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA 

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Anchored Discrete Factor Analysis



Yoni Halpern , Steven Horng , David Sontag


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A Practical Algorithm for Topic Modeling with Provable Guarantees



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

* 26 pages 

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