Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. (arXiv:2210.03967v1 [cs.LG])

The Partial Area Under the ROC Curve (PAUC), typically including One-way
Partial AUC (OPAUC) and Two-way Partial AUC (TPAUC), measures the average
performance of a binary classifier within a specific false positive rate and/or
true positive rate interval, which is a widely adopted measure when decision
constraints must be considered. Consequently, PAUC optimization has naturally
attracted increasing attention in the machine learning community within the
last few years. Nonetheless, most of the existing methods could only optimize
PAUC approximately, leading …

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