ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.03108
  4. Cited By
Fast calculation of Gaussian Process multiple-fold cross-validation
  residuals and their covariances

Fast calculation of Gaussian Process multiple-fold cross-validation residuals and their covariances

8 January 2021
D. Ginsbourger
Cedric Scharer
ArXivPDFHTML

Papers citing "Fast calculation of Gaussian Process multiple-fold cross-validation residuals and their covariances"

5 / 5 papers shown
Title
Weighted Leave-One-Out Cross Validation
Weighted Leave-One-Out Cross Validation
L. Pronzato
M. Rendas
29
0
0
26 May 2025
Learning dynamical systems from data: a simple cross-validation
  perspective
Learning dynamical systems from data: a simple cross-validation perspective
B. Hamzi
H. Owhadi
38
39
0
09 Jul 2020
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
25
8
0
26 Feb 2020
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
A survey of cross-validation procedures for model selection
A survey of cross-validation procedures for model selection
Sylvain Arlot
Alain Celisse
145
3,583
0
27 Jul 2009
1