AI RESEARCH

Stable Localized Conformal Prediction via Transduction

arXiv CS.LG

ArXi:2605.01452v1 Announce Type: cross Existing evaluations of conformal prediction, such as prediction efficiency and test-conditional coverage, are defined in expectation over the calibration data. In practice, when only one calibration set of limited size is available, prediction sets often exhibit high variability in size, especially for methods with localization. We formalize this concern as set stability, defined as the variance of the conditional expectation of the set size given the calibration data.