Conformal Risk Minimization with Variance Reduction

Understand

Conformal prediction (CP) is a distribution-free framework for achieving probabilistic guarantees on black-box models.

• CP is generally applied to a model post-training.
• Recent research efforts, on the other hand, have focused on optimizing CP efficiency during training.
• We formalize this concept as the problem of conformal risk minimization (CRM).