On Batch Bayesian Optimization

11/04/2019

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by   Sayak Ray Chowdhury, et al.

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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.