2025
Direct Prediction Set Minimization via Bilevel Conformal Classifier Training
ICML 2025poster
Conformal prediction (CP) is a promising uncertainty quantification framework which works as a wrapper around a black-box classifier to construct prediction sets (i.e., subset of candidate classes) with provable guarantees. However, standard calibration methods for CP tend to produce large predicti…