Formalizes improvement-aware strategic classification for linear classifiers under single-index models, proves the strategic-optimal classifier is a parallel shift of the Bayes boundary, and supplies PAC guarantees with a plug-in algorithm evaluated on datasets.
Pac learning with improvements.arXiv preprint arXiv:2503.03184, 2025
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Linear Strategic Classification with Endogenous Improvements
Formalizes improvement-aware strategic classification for linear classifiers under single-index models, proves the strategic-optimal classifier is a parallel shift of the Bayes boundary, and supplies PAC guarantees with a plug-in algorithm evaluated on datasets.