11 citations · 77 across the 21 of their papers we have counts for
21 papers
Allocating Divisible Resources on Arms with Unknown and Random Rewards
Ningyuan Chen, Wenhao Li
We consider a decision maker allocating one unit of renewable and divisible resource in each period on a number of arms. The arms have unknown and random rewards whose means are pr…
Algorithmic Decision-Making Safeguarded by Human Knowledge
Ningyuan Chen, Ming Hu, Wenhao Li
Commercial AI solutions provide analysts and managers with data-driven business intelligence for a wide range of decisions, such as demand forecasting and pricing. However, human a…
Learning Consumer Preferences from Bundle Sales Data
Ningyuan Chen, Setareh Farajollahzadeh, Qingwei Jin +2
Problem definition: This paper studies the problem of estimating consumer preferences from bundle sales data. Product bundling is a widely used pricing strategy in retail markets.…
Bridging Adversarial and Nonstationary Multi-armed Bandit
Ningyuan Chen, Shuoguang Yang, Hailun Zhang
In the multi-armed bandit framework, there are two formulations that are commonly employed to handle time-varying reward distributions: adversarial bandit and nonstationary bandit.…
Debiasing Samples from Online Learning Using Bootstrap
Ningyuan Chen, Xuefeng Gao, Yi Xiong
It has been recently shown in the literature that the sample averages from online learning experiments are biased when used to estimate the mean reward. To correct the bias, off-po…
Sublinear Regret for Learning POMDPs
Yi Xiong, Ningyuan Chen, Xuefeng Gao +1
We study the model-based undiscounted reinforcement learning for partially observable Markov decision processes (POMDPs). The oracle we consider is the optimal policy of the POMDP…