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cs.LG2026
Multigroup Fairness and Omniprediction: Separations and Equivalences
Sílvia Casacuberta, Parikshit Gopalan, Varun Kanade +3
Omniprediction is a learning guarantee which requires a single predictor to be competitive relative to the best hypothesis from a benchmark class for any loss chosen from a family…
cs.LG2026
Good Allocations from Bad Estimates
Sílvia Casacuberta, Moritz Hardt
Conditional average treatment effect (CATE) estimation is the de facto gold standard for targeting a treatment to a heterogeneous population. The method estimates treatment effects…