Thesis icon

Thesis

Practical and theoretical advances in Bayesian optimization

Abstract:

Bayesian optimization forms a set of powerful tools that allows efficient blackbox optimization and has general applications in a large variety of fields. In this work we seek to advance Bayesian optimization both in the theoretical and the practical fronts as well as apply Bayesian optimization to novel and difficult problems in order to advance the state of the art.

Chapter 1 gives a broad overview of Bayesian optimization. We start by covering the published applications of B...

Expand abstract

Actions


Access Document


Files:

Authors


Contributors

Role:
Supervisor
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

Terms of use


Metrics


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP