Classification Under Strategic Self-Selection

arXiv:2402.15274v1 Announce Type: new
Abstract: When users stand to gain from certain predictions, they are prone to act strategically to obtain favorable predictive outcomes. Whereas most works on strategic classification consider user actions that manifest as feature modifications, we study a novel setting in which users decide -- in response to the learned classifier -- whether to at all participate (or not). For learning approaches of increasing strategic awareness, we study the effects of self-selection on learning, and the implications …

abstract act arxiv classification classifier cs.lg feature manifest novel predictions predictive study type