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Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients

Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients

S. Petit
Julien Bect
Sébastien Da Veiga
Paul Feliot
E. Vázquez
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Papers citing "Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients"

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Title
Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification
Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification
François Bachoc
62
227
0
18 Jan 2013