John C. S. Lui

8

Papers

22

Total Citations

Papers (8)

Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality

Fusing Reward and Dueling Feedback in Stochastic Bandits

Online Clustering of Dueling Bandits

Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits

NeurIPS 2020arXiv

Adversarial Bandits with Corruptions: Regret Lower Bound and No-regret Algorithm

Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback