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Julian Berk

1 accepted papers

2020

Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation

IJCAI 2020poster

In order to improve the performance of Bayesian optimisation, we develop a modified Gaussian process upper confidence bound (GP-UCB) acquisition function. This is done by sampling the exploration-exploitation trade-off parameter from a distribution. We prove that this allows the expected trade-off p…