15 citations · 18 across the 2 of their papers we have counts for
3 papers
stat.ML2021★ 15 cited
Federated Linear Contextual Bandits
Ruiquan Huang, Weiqiang Wu, Jing Yang +1
This paper presents a novel federated linear contextual bandits model, where individual clients face different -armed stochastic bandits coupled through common global parameters…
cs.LG2020★ 3 cited
Stochastic Linear Contextual Bandits with Diverse Contexts
Weiqiang Wu, Jing Yang, Cong Shen
In this paper, we investigate the impact of context diversity on stochastic linear contextual bandits. As opposed to the previous view that contexts lead to more difficult bandit l…
cs.LG2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs
Jingxin Liu, Chang Xu, Chang Yin +2
Graph representation learning is a fundamental task in various applications that strives to learn low-dimensional embeddings for nodes that can preserve graph topology information.…