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20172023
most citedEfficient Learning for Clustering and Optimizing Context-Dependent Designs

27 citations · 78 across the 13 of their papers we have counts for

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math.OC2021★ 15 cited

Asymptotically Optimal Sampling Policy for Selecting Top-m Alternatives

Gongbo Zhang, Yijie Peng, Jianghua Zhang +1

We consider selecting the top- alternatives from a finite number of alternatives via Monte Carlo simulation. Under a Bayesian framework, we formulate the sampling decision as a…

math.OC2021★ 9 cited

Efficient Sampling Policy for Selecting a Good Enough Subset

Gongbo Zhang, Bin Chen, Qing-shan Jia +1

The note studies the problem of selecting a good enough subset out of a finite number of alternatives under a fixed simulation budget. Our work aims to maximize the posterior proba…