3 citations · 5 across the 5 of their papers we have counts for
5 papers
Orthogonal Uplift Learning with Permutation-Invariant Representations for Combinatorial Treatments
Xinyan Su, Jiacan Gao, Mingyuan Ma +6
We study uplift estimation for combinatorial treatments. Uplift measures the pure incremental causal effect of an intervention (e.g., sending a coupon or a marketing message) on us…
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…
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…
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…
Multi-Armed Bandits on Partially Revealed Unit Interval Graphs
Xiao Xu, Sattar Vakili, Qing Zhao +1
A stochastic multi-armed bandit problem with side information on the similarity and dissimilarity across different arms is considered. The action space of the problem can be repres…