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    On Batch Bayesian Optimization

    Sayak Ray Chowdhury, Aditya Gopalan  ·  Published 2019-11-04
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    Abstract

    We present two algorithms for Bayesian optimization in the batch feedback setting, based on Gaussian process upper confidence bound and Thompson sampling approaches, along with frequentist regret guarantees and numerical results.
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