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Enhanced Kriging models within a Bayesian optimization framework to handle both continuous and categorical inputs

Name: Enhanced Kriging Models within a Bayesian Optimization Framework, to Handle both continuous and Categorical Inputs
Keywords: kriging, [MATH]Mathematics [math], Bayesian optimization

descriptionPublicationkeyboard_double_arrow_right Conference object , Presentation 01 Jan 2021 France Publisher:ZenodoFunded by:EC | AGILE 4.0

Authors: Saves, Paul; Bartoli, Nathalie; Diouane, Youssef; Morlier, Joseph; Lefebvre, Thierry;

doi: 10.5281/zenodo.5743338 , 10.5281/zenodo.5743339

Enhanced Kriging models within a Bayesian optimization framework to handle both continuous and categorical inputs

- Summary
- Subjects

Abstract

SIAM Conference on Computational Science and Engineering MS130 Derivative-Free Optimization Methods for Solving Expensive Global Black-Box Problems - Part II of II

Country

France

Related Organizations

Université Paris Diderot
France
INSA de Toulouse
France

Keywords

kriging, [MATH]Mathematics [math], Bayesian optimization

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Funded by

EC| AGILE 4.0