1 citations · 1 across the 2 of their papers we have counts for
2 papers
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.ML2023★ 1 cited
Utility Fairness in Contextual Dynamic Pricing with Demand Learning
Xi Chen, David Simchi-Levi, Yining Wang
This paper introduces a novel contextual bandit algorithm for personalized pricing under utility fairness constraints in scenarios with uncertain demand, achieving an optimal regre…