Reingold, Omer

13 publications

TMLR 2025 Fairness with Respect to Stereotype Predictors: Impossibilities and Best Practices Inbal Rachel Livni Navon, Omer Reingold, Judy Hanwen Shen

CHIL 2025 Multiaccuracy for Subpopulation Calibration over Distribution Shift in Medical Prediction Models Daniel Kapash, Noam Barda, Omer Reingold, Noa Dagan, Ran Balicer

ICML 2025 Representative Language Generation Charlotte Peale, Vinod Raman, Omer Reingold

AAAI 2024 Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance Omer Reingold, Judy Hanwen Shen, Aditi Talati

ICML 2023 Omnipredictors for Constrained Optimization Lunjia Hu, Inbal Rachel Livni Navon, Omer Reingold, Chutong Yang

NeurIPS 2023 Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration Parikshit Gopalan, Michael Kim, Omer Reingold

ALT 2022 Beyond Bernoulli: Generating Random Outcomes That Cannot Be Distinguished from Nature Cynthia Dwork, Michael P. Kim, Omer Reingold, Guy N. Rothblum, Gal Yona

ALT 2022 Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability Lunjia Hu, Charlotte Peale, Omer Reingold

ALT 2022 Multicalibrated Partitions for Importance Weights Parikshit Gopalan, Omer Reingold, Vatsal Sharan, Udi Wieder

AISTATS 2021 Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers Lunjia Hu, Omer Reingold

NeurIPS 2018 Fairness Through Computationally-Bounded Awareness Michael Kim, Omer Reingold, Guy Rothblum

ICML 2018 Multicalibration: Calibration for the (Computationally-Identifiable) Masses Ursula Hebert-Johnson, Michael Kim, Omer Reingold, Guy Rothblum

NeurIPS 2015 Generalization in Adaptive Data Analysis and Holdout Reuse Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toni Pitassi, Omer Reingold, Aaron Roth