1 code implementation • 15 Oct 2020 • George De Ath, Richard M. Everson, Jonathan E. Fieldsend
Batch Bayesian optimisation (BO) is a successful technique for the optimisation of expensive black-box functions.
1 code implementation • 17 Apr 2020 • George De Ath, Jonathan E. Fieldsend, Richard M. Everson
We show that the rate of convergence can depend sensitively on the choice of mean function.
1 code implementation • 5 Feb 2020 • George De Ath, Richard M. Everson, Jonathan E. Fieldsend, Alma A. M. Rahat
Bayesian optimisation is a popular, surrogate model-based approach for optimising expensive black-box functions.
1 code implementation • 28 Nov 2019 • George De Ath, Richard M. Everson, Alma A. M. Rahat, Jonathan E. Fieldsend
The performance of acquisition functions for Bayesian optimisation to locate the global optimum of continuous functions is investigated in terms of the Pareto front between exploration and exploitation.
no code implementations • 25 Apr 2019 • Nicholas D. Sanders, Richard M. Everson, Jonathan E. Fieldsend, Alma A. M. Rahat
We propose a method for robust optimisation using Bayesian optimisation to find a region of design space in which the expensive function's performance is relatively insensitive to the inputs whilst retaining a good quality.
no code implementations • 22 May 2018 • George De Ath, Richard M. Everson
We propose a novel part-based method for tracking an arbitrary object in challenging video sequences.