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...other multigroup fairness notions) has recently been shown to be powerful in other settings in TCS, including in omniprediction (arxiv.org/abs/2501.17205), in pseudoentropy characterizations (arxiv.org/abs/2507.05972), and in robust learning (arxiv.org/abs/2604.02555).
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Omnipredictors are simple prediction functions that encode loss-minimizing predictions with respect to a hypothesis class $H$, simultaneously for every loss function within a class of losses $L$. In t...
arxiv.org
Near-Optimal Algorithms for Omniprediction
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