Author

Feiyu Jiang

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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. · 0 citations

Jul 2026

On Non-Stationary Dynamic Pricing: Adaptivity and Optimality

This is the first dynamic pricing algorithm that is adaptive to the nature of changes and achieves the best-of-both-worlds rate, thus closing a long-standing gap in the literature.

Feiyu Jiang, Zifeng Zhao · arXiv.org · 0 citations