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#machine learning Preprint Oct 2026

Pairwise AUC Optimization Needs Corrective Power: A Unified View

The authors' results provide a mechanistic explanation for several empirical patterns: squared-hinge loss is often an effective AUC surrogate; cross-entropy warm-up can help models that enter the AUC phase from a poor starting region; and parameter-efficient fine-tuning from a pretrained model can reduce that need by s...

Jia Chen, Zhi-Yong Yang, Shi-Long Bao et al. · 0 citations

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