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Efficient Swap Multicalibration of Elicitable Properties
Lunjia Hu, Haipeng Luo, Spandan Senapati +1
Multicalibration [HJKRR18] is an algorithmic fairness perspective that demands that the predictions of a predictor are correct conditional on themselves and membership in a collect…
Improved Bounds for Swap Multicalibration and Swap Omniprediction
Haipeng Luo, Spandan Senapati, Vatsal Sharan
In this paper, we consider the related problems of multicalibration -- a multigroup fairness notion and omniprediction -- a simultaneous loss minimization paradigm, both in the dis…
Simultaneous Swap Regret Minimization via KL-Calibration
Haipeng Luo, Spandan Senapati, Vatsal Sharan
Calibration is a fundamental concept that aims at ensuring the reliability of probabilistic predictions by aligning them with real-world outcomes. There is a surge of studies on ne…