Tractable Agreement ProtocolsSymposium on the Theory of Computing (STOC), 2024 |
Fair Risk Control: A Generalized Framework for Calibrating Multi-group
Fairness RisksInternational Conference on Machine Learning (ICML), 2024 |
Oracle Efficient Online Multicalibration and OmnipredictionACM-SIAM Symposium on Discrete Algorithms (SODA), 2023 |
Scalable Membership Inference Attacks via Quantile RegressionNeural Information Processing Systems (NeurIPS), 2023 |
HappyMap: A Generalized Multi-calibration MethodInformation Technology Convergence and Services (ITCS), 2023 |
A Unifying Perspective on Multi-Calibration: Game Dynamics for
Multi-Objective LearningNeural Information Processing Systems (NeurIPS), 2023 |
Swap Agnostic Learning, or Characterizing Omniprediction via
MulticalibrationNeural Information Processing Systems (NeurIPS), 2023 |
From Pseudorandomness to Multi-Group Fairness and BackAnnual Conference Computational Learning Theory (COLT), 2023 |
Batch Multivalid Conformal PredictionInternational Conference on Learning Representations (ICLR), 2022 |
Fair admission risk prediction with proportional multicalibrationACM Conference on Health, Inference, and Learning (ACM CHIL), 2022 |
Multicalibrated Regression for Downstream FairnessAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022 |
Reconciling Individual Probability ForecastsConference on Fairness, Accountability and Transparency (FAccT), 2022 |
Practical Adversarial Multivalid Conformal PredictionNeural Information Processing Systems (NeurIPS), 2022 |
Decision-Making under MiscalibrationInformation Technology Convergence and Services (ITCS), 2022 |
Low-Degree MulticalibrationAnnual Conference Computational Learning Theory (COLT), 2022 |
An Algorithmic Framework for Bias BountiesConference on Fairness, Accountability and Transparency (FAccT), 2022 |
Simple and near-optimal algorithms for hidden stratification and
multi-group learningInternational Conference on Machine Learning (ICML), 2021 |
Online Minimax Multiobjective Optimization: Multicalibeating and Other
ApplicationsNeural Information Processing Systems (NeurIPS), 2021 |
Multi-group Agnostic PAC LearnabilityInternational Conference on Machine Learning (ICML), 2021 |
Lexicographically Fair Learning: Algorithms and GeneralizationSymposium on Foundations of Responsible Computing (FRC), 2021 |