Gradient Equilibrium in Online Learning: Theory and Applications
We present a new perspective on online learning that we refer to as gradient equilibrium: a
sequence of iterates achieves gradient equilibrium if the average of gradients of losses …
sequence of iterates achieves gradient equilibrium if the average of gradients of losses …
Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictors
JH Szabadváry - arxiv preprint arxiv:2409.15548, 2024 - arxiv.org
Conformal prediction (CP) is a robust framework for distribution-free uncertainty
quantification, but it requires exchangeable data to ensure valid prediction sets at a user …
quantification, but it requires exchangeable data to ensure valid prediction sets at a user …