2000 character limit reached
On Batch Bayesian Optimization
Published 4 Nov 2019 in cs.LG and stat.ML | (1911.01032v1)
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.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.