5 citations · 8 across the 3 of their papers we have counts for
3 papers
stat.ML2022★ 1 cited
Federated Online Sparse Decision Making
Chi-Hua Wang, Wenjie Li, Guang Cheng +1
This paper presents a novel federated linear contextual bandits model, where individual clients face different K-armed stochastic bandits with high-dimensional decision context and…
stat.ML2020★ 2 cited
Online Batch Decision-Making with High-Dimensional Covariates
Chi-Hua Wang, Guang Cheng
We propose and investigate a class of new algorithms for sequential decision making that interacts with \textit{a batch of users} simultaneously instead of \textit{a user} at each…
stat.ML2020★ 5 cited
Residual Bootstrap Exploration for Bandit Algorithms
Chi-Hua Wang, Yang Yu, Botao Hao +1
In this paper, we propose a novel perturbation-based exploration method in bandit algorithms with bounded or unbounded rewards, called residual bootstrap exploration (\texttt{ReBoo…