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Minimal Superior Penalties: Characterising and Calibrating Decision-Aware Proper Scoring Rules

arXiv:2611.03734v1 Announce Type: new Abstract: Training a classifier means letting a validation metric decide which model is kept and when training stops. A natural requirement on that metric is superiority: every correctly classified forecast should score better than every incorrectly classified…

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  1. 2026-11-04 05:00 · arXiv cs.LG
    Minimal Superior Penalties: Characterising and Calibrating Decision-Aware Proper Scoring Rules

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