47 citations · 52 across the 2 of their papers we have counts for
2 papers
math.ST2019★ 5 cited
Knowledge Gradient for Selection with Covariates: Consistency and Computation
Liang Ding, L. Jeff Hong, Haihui Shen +1
Knowledge gradient is a design principle for developing Bayesian sequential sampling policies to solve optimization problems. In this paper we consider the ranking and selection pr…
stat.ML2017★ 47 cited
Ranking and Selection with Covariates for Personalized Decision Making
Haihui Shen, L. Jeff Hong, Xiaowei Zhang
We consider a problem of ranking and selection via simulation in the context of personalized decision making, where the best alternative is not universal but varies as a function o…