A new multi-stage sequential model with selective classifiers is proposed to characterize agent actions and design sequences that incentivize genuine improvement rather than gaming in strategic classification.
arXiv preprint arXiv:2002.07024 , volume=
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces partial fairness awareness (PFA) and a belief-guided mechanism allowing strategic agents to align beliefs with a hidden grounding fairness constraint via iterative interaction.
citing papers explorer
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Sequential Strategic Classification with Multi-Stage Selective Classifiers
A new multi-stage sequential model with selective classifiers is proposed to characterize agent actions and design sequences that incentivize genuine improvement rather than gaming in strategic classification.
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Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
Introduces partial fairness awareness (PFA) and a belief-guided mechanism allowing strategic agents to align beliefs with a hidden grounding fairness constraint via iterative interaction.