22 citations · 23 across the 3 of their papers we have counts for
4 papers
An Opportunistic Bandit Approach for User Interface Experimentation
Nader Bouacida, Amit Pande, Xin Liu
Facing growing competition from online rivals, the retail industry is increasingly investing in their online shopping platforms to win the high-stake battle of customer' loyalty. U…
Contextual Bandits with Side-Observations
Rahul Singh, Fang Liu, Xin Liu +1
We investigate contextual bandits in the presence of side-observations across arms in order to design recommendation algorithms for users connected via social networks. Users in so…
IPO: Interior-point Policy Optimization under Constraints
Yongshuai Liu, Jiaxin Ding, Xin Liu
In this paper, we study reinforcement learning (RL) algorithms to solve real-world decision problems with the objective of maximizing the long-term reward as well as satisfying cum…
AdaLinUCB: Opportunistic Learning for Contextual Bandits
Xueying Guo, Xiaoxiao Wang, Xin Liu
In this paper, we propose and study opportunistic contextual bandits - a special case of contextual bandits where the exploration cost varies under different environmental conditio…