Deakin University
Browse
berk-distributionalapproach-2020.pdf (10.89 MB)

A Distributional Approach towards Efficient and Versatile Bayesian Optimisation

Download (10.89 MB)
thesis
posted on 2023-04-06, 05:34 authored by Julian Maxwell Andrew Berk
This study improved an algorithm for optimising costly black-box systems called Bayesian optimisation. It enhanced surrogate models Bayesian optimisation uses to select samples. It also introduced a method for altering the region from which the sample can be selected. These changes increased the algorithms efficiency, potentially reducing optimisation costs.

History

Pagination

91 p.

Open access

  • Yes

Language

English

Degree type

Doctorate

Degree name

Ph.D.

Copyright notice

All rights reserved

Editor/Contributor(s)

Sunil Gupta, Rana Santu, Svetha Venkatesh, Vu Nguyen

Faculty

Applied Artificial Intelligence Institute

School

Applied Artificial Intelligence Institute

Usage metrics

    Theses

    Categories

    No categories selected

    Keywords

    Exports