17 citations · 20 across the 5 of their papers we have counts for
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stat.CO2022★ 1 cited
Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization
Sébastien Petit, Julien Bect, Emmanuel Vazquez
This work presents a new procedure for obtaining predictive distributions in the context of Gaussian process (GP) modeling, with a relaxation of the interpolation constraints outsi…
stat.CO2020★ 2 cited
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…