Preprint
Oct 2026
Optimal Learning in Fairness-Aware Contextual Bandits
Mitigating unfair disparities in sequential decision-making is a growing concern in machine learning. We study contextual bandits under a global covariate-based Lipschitz fairness constraint, pioneered by \cite{dwork2012fairness}, requiring individuals with similar contexts to receive similar action distributions. We s...
Geng-Yu Xue, Fan Wang, Fei-Yu Jiang et al.
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