LWCal: Loss-weighted calibration for tabular classifiers with noisy calibration labels
Read the original at arxiv.org→arXiv:2609.26839v1 Announce Type: new Abstract: Post-hoc probability calibration is usually evaluated under an optimistic assumption: the held-out calibration labels are clean. In many AI deployment settings,...
Original headline: "LWCal: Loss-Weighted Calibration for Tabular Classifiers with Noisy Calibration Labels"
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- Sep 24, 04:00 UTC arXiv cs.LG lead source LWCal: Loss-Weighted Calibration for Tabular Classifiers with Noisy Calibration Labels