Search Results for author:
Found 2 papers, 1 papers with code
BO-Muse: A human expert and AI teaming framework for accelerated experimental design
In this paper we introduce BO-Muse, a new approach to human-AI teaming for the optimization of expensive black-box functions.
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation
In order to improve the performance of Bayesian optimisation, we develop a modified Gaussian process upper confidence bound (GP-UCB) acquisition function.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
