AI RESEARCH

Linear Strategic Classification with Endogenous Improvements

arXiv CS.LG

ArXi:2606.01198v1 Announce Type: new Strategic classification studies settings in which agents respond to a deployed classifier by modifying observable features at a cost. Classical models typically treat such responses as cosmetic: features may change, but true labels remain fixed. We study an improvement-aware variant in which strategic responses can induce genuine changes in outcome-relevant features.