3 citations · 5 across the 5 of their papers we have counts for
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cs.LG2020★ 1 cited
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests
Xiao Xu, Fang Dong, Yanghua Li +2
A contextual bandit problem is studied in a highly non-stationary environment, which is ubiquitous in various recommender systems due to the time-varying interests of users. Two mo…
cs.GT2020
Distributed No-Regret Learning in Multi-Agent Systems
Xiao Xu, Qing Zhao
In this tutorial article, we give an overview of new challenges and representative results on distributed no-regret learning in multi-agent systems modeled as repeated unknown game…
cs.LG2020★ 3 cited
Memory-Constrained No-Regret Learning in Adversarial Bandits
Xiao Xu, Qing Zhao
An adversarial bandit problem with memory constraints is studied where only the statistics of a subset of arms can be stored. A hierarchical learning policy that requires only a su…