strategic classification
Strategic classification involves designing algorithms that take into account the strategic behavior of agents, particularly in situations where individuals can influence classification outcomes, such as in social science applications.
- Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
- Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning
- Distributionally Robust Performative Optimization
- Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty
- Individual Fairness In Strategic Classification
- Look-Ahead Reasoning on Learning Platforms
- Strategic Classification with Non-Linear Classifiers