LWCal: Loss-Weighted Calibration for Tabular Classifiers with Noisy Calibration Labels.

arXiv:2609.26839v1 Announce Type: cross Abstract: Post-hoc probability calibration is usually evaluated under an optimistic assumption: the held-out calibration labels are clean. In many AI deployment settings, however, labels come from weak annotators, histor