AI RESEARCH
Online Conformal Prediction: Enforcing monotonicity via Online Optimization
arXiv CS.LG
•
ArXi:2605.12668v1 Announce Type: cross Conformal prediction provides a principled framework for uncertainty quantification with finite-sample coverage guarantees. While recent work has extended conformal prediction to online and sequential settings, existing methods typically focus on a single coverage level and do not ensure consistency across multiple confidence levels.