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Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization

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Statistics [stat] Machine Learning [stat.ML]
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Submitted on : Wednesday, July 6, 2022-5:18:30 PM

Last modification on : Tuesday, August 16, 2022-10:44:40 AM

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hal-03715755 , version 1 (06-07-2022)

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Attribution - NonCommercial - NoDerivatives - CC BY 4.0

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Sébastien Petit, Julien Bect, Emmanuel Vazquez. Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization. MASCOT-NUM 2022, Jun 2022, Clermont-Ferrand, France. ⟨hal-03715755⟩

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CNRS SUP_LSS SUP_SIGNAUX CENTRALESUPELEC UNIV-PARIS-SACLAY GS-ENGINEERING GS-COMPUTER-SCIENCE HUB-IA
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