Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting

Shai Feldman, Stephen Bates, Yaniv Romano

We introduce a framework for robust uncertainty quantification in situations where labeled training data are corrupted, through noisy or missing labels. We build on conformal predi…