2026
Online Conformal Prediction with Adversarial Feedback via Regret Minimization
ICLR 2026poster
Quantifying uncertainty is crucial in safety-critical learning systems where decisions are made based on uncertainty. Conformal prediction is one promising way to quantify uncertainty that comes with a theoretical guarantee. However, the theoretical guarantee comes with a price of the assumption on…