A conformal risk control framework using efficient influence functions yields distribution-free prediction sets for outcomes trained on coarsened, missing, or censored data.
Robust validation: Confident predictions even when distributions shift
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Multiply Robust Conformal Risk Control with Coarsened Data
A conformal risk control framework using efficient influence functions yields distribution-free prediction sets for outcomes trained on coarsened, missing, or censored data.