125 citations · 142 across the 4 of their papers we have counts for
4 papers
MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation
George De Ath, Tinkle Chugh, Alma A. M. Rahat
Optimisation problems often have multiple conflicting objectives that can be computationally and/or financially expensive. Mono-surrogate Bayesian optimisation (BO) is a popular mo…
-shotgun: -greedy Batch Bayesian Optimisation
George De Ath, Richard M. Everson, Jonathan E. Fieldsend +1
Bayesian optimisation is a popular, surrogate model-based approach for optimising expensive black-box functions. Given a surrogate model, the next location to expensively evaluate…
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation
George De Ath, Richard M. Everson, Alma A. M. Rahat +1
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 explora…
Bayesian Search for Robust Optima
Nicholas D. Sanders, Richard M. Everson, Jonathan E. Fieldsend +1
Many expensive black-box optimisation problems are sensitive to their inputs. In these problems it makes more sense to locate a region of good designs, than a single-possibly fragi…