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stat.ML2024
On the Optimal Regret of Locally Private Linear Contextual Bandit
Jiachun Li, David Simchi-Levi, Yining Wang
Contextual bandit with linear reward functions is among one of the most extensively studied models in bandit and online learning research. Recently, there has been increasing inter…
stat.ML2024★ 2 cited
Demand Balancing in Primal-Dual Optimization for Blind Network Revenue Management
Sentao Miao, Yining Wang
This paper proposes a practically efficient algorithm with optimal theoretical regret which solves the classical network revenue management (NRM) problem with unknown, nonparametri…