arXiv stat.ML
· Papers
Optimal Conformal Prediction under Epistemic Uncertainty
arXiv:2505.19033v2 Announce Type: replace Abstract: Conformal prediction (CP) is a widely used frequentist framework to quantify uncertainty by constructing prediction sets with user-specified marginal coverage guarantees. In practice, CP is typically applied on top of probabilistic classifiers, which are able to expre