 Smooth Calibration and Decision MakingSymposium on Foundations of Responsible Computing (FRC), 2025 |
 Combining Priors with Experience: Confidence Calibration Based on Binomial Process ModelingAAAI Conference on Artificial Intelligence (AAAI), 2024 |
 Tractable Agreement ProtocolsSymposium on the Theory of Computing (STOC), 2024 |
 Conformal Prediction for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL), 2024 |
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 Smooth ECE: Principled Reliability Diagrams via Kernel SmoothingInternational Conference on Learning Representations (ICLR), 2023 |
 Set Learning for Accurate and Calibrated ModelsInternational Conference on Learning Representations (ICLR), 2023 |
 U-Calibration: Forecasting for an Unknown AgentAnnual Conference Computational Learning Theory (COLT), 2023 |
 On the Limitations of Temperature Scaling for Distributions with
OverlapsInternational Conference on Learning Representations (ICLR), 2023 |
 When Does Optimizing a Proper Loss Yield Calibration?Neural Information Processing Systems (NeurIPS), 2023 |
 Minimum-Risk Recalibration of ClassifiersNeural Information Processing Systems (NeurIPS), 2023 |
 Loss Minimization Yields Multicalibration for Large Neural NetworksInformation Technology Convergence and Services (ITCS), 2023 |
 On the Within-Group Fairness of Screening ClassifiersInternational Conference on Machine Learning (ICML), 2023 |
