How Many Labels Does Model Choice Need? Certificates and Budgets for Selective Prediction
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arXiv:2609.18622v1 Announce Type: cross Abstract: Classifiers can make identical predictions yet require labels to compare their selective performance: confidence ranks weight the same errors differently. We quantify this requirement for the area under the generalized risk-coverage curve (AUGRC). A…
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- 2026-09-17 04:00 · arXiv stat.ML
How Many Labels Does Model Choice Need? Certificates and Budgets for Selective Prediction