Optimizing Bayesian optimization

<p>We are concerned primarily with improving the practical applicability of Bayesian optimization. We make contributions in three key areas. </p> <p>We develop an intuitive online stopping criterion, allowing only as many steps as necessary to achieve the desired target to be take...

Full description

Bibliographic Details
Main Author: McLeod, M
Other Authors: Roberts, S
Format: Thesis
Language:English
Published: 2018
Subjects: