148 citations · 150 across the 5 of their papers we have counts for
5 papers
Parameter selection in Gaussian process interpolation: an empirical study of selection criteria
Sébastien Petit, Julien Bect, Paul Feliot +1
This article revisits the fundamental problem of parameter selection for Gaussian process interpolation. By choosing the mean and the covariance functions of a Gaussian process wit…
Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients
Sébastien Petit, Julien Bect, Sébastien da Veiga +2
We consider the problem of estimating the parameters of the covariance function of a Gaussian process by cross-validation. We suggest using new cross-validation criteria derived fr…
User preferences in Bayesian multi-objective optimization: the expected weighted hypervolume improvement criterion
Paul Feliot, Julien Bect, Emmanuel Vazquez
In this article, we present a framework for taking into account user preferences in multi-objective Bayesian optimization in the case where the objectives are expensive-to-evaluate…
Design of a commercial aircraft environment control system using Bayesian optimization techniques
Paul Feliot, Yves Le Guennec, Julien Bect +1
In this paper, we present the application of a recently developed algorithm for Bayesian multi-objective optimization to the design of a commercial aircraft environment control sys…
A Bayesian approach to constrained single- and multi-objective optimization
Paul Feliot, Julien Bect, Emmanuel Vazquez
This article addresses the problem of derivative-free (single- or multi-objective) optimization subject to multiple inequality constraints. Both the objective and constraint functi…