Multicalibration and Outcome Indistinguishability I

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Multicalibration and Outcome Indistinguishability II

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Multigroup Fairness and Loss Minimization

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Validity of Decision Making Algorithms

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Calibration: Unbiased Answers to Arbitrary Questions

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Robust Multivalid Conformal Prediction

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Online Omniprediction

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Measuring Distribution Drift via Multicalibration

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Loss Minimization Yields Multicalibration for Large Neural Networks

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Algorithms for Multigroup Learning

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