Search Results for author:
Found 3 papers, 0 papers with code
Parameter selection in Gaussian process interpolation: an empirical study of selection criteria
This article revisits the fundamental problem of parameter selection for Gaussian process interpolation.
Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients
We consider the problem of estimating the parameters of the covariance function of a Gaussian process by cross-validation.
A Bayesian approach to constrained single- and multi-objective optimization
More specifically, an extended domination rule is used to handle objectives and constraints in a unified way, and a corresponding expected hyper-volume improvement sampling criterion is proposed.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
