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Cross Validation and Maximum Likelihood estimations of hyper-parameters
  of Gaussian processes with model misspecification
v1v2v3 (latest)

Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification

18 January 2013
François Bachoc
ArXiv (abs)PDFHTML

Papers citing "Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification"

14 / 64 papers shown
Title
A Gaussian Process Regression Model for Distribution Inputs
A Gaussian Process Regression Model for Distribution Inputs
François Bachoc
Fabrice Gamboa
Jean-Michel Loubes
N. Venet
93
53
0
31 Jan 2017
Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and
  Length-Scale Cool Down
Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down
K. P. Wabersich
Marc Toussaint
61
11
0
09 Dec 2016
Cross-validation estimation of covariance parameters under fixed-domain
  asymptotics
Cross-validation estimation of covariance parameters under fixed-domain asymptotics
François Bachoc
A. Lagnoux
Thi Mong Ngoc Nguyen
75
22
0
10 Oct 2016
Model Selection for Gaussian Process Regression by Approximation Set
  Coding
Model Selection for Gaussian Process Regression by Approximation Set Coding
B. Fischer
Nico S. Gorbach
Stefan Bauer
Yatao Bian
J. M. Buhmann
GP
23
6
0
04 Oct 2016
Nested Kriging predictions for datasets with large number of
  observations
Nested Kriging predictions for datasets with large number of observations
D. Rullière
N. Durrande
François Bachoc
C. Chevalier
79
67
0
19 Jul 2016
Metamodel-based sensitivity analysis: Polynomial chaos expansions and
  Gaussian processes
Metamodel-based sensitivity analysis: Polynomial chaos expansions and Gaussian processes
Loic Le Gratiet
S. Marelli
Bruno Sudret
63
157
0
14 Jun 2016
Small ensembles of kriging models for optimization
Small ensembles of kriging models for optimization
Hossein Mohammadi
Rodolphe Le Riche
E. Touboul
31
1
0
08 Mar 2016
An analytic comparison of regularization methods for Gaussian Processes
An analytic comparison of regularization methods for Gaussian Processes
Hossein Mohammadi
Rodolphe Le Riche
N. Durrande
E. Touboul
X. Bay
95
23
0
02 Feb 2016
Improvement of code behaviour in a design of experiments by metamodeling
Improvement of code behaviour in a design of experiments by metamodeling
François Bachoc
Jean-Marc Martinez
K. Ammar
AI4CE
73
13
0
10 Nov 2015
Polynomial-Chaos-based Kriging
Polynomial-Chaos-based Kriging
R. Schöbi
Bruno Sudret
J. Wiart
91
271
0
13 Feb 2015
Hyperparameter Search in Machine Learning
Hyperparameter Search in Machine Learning
Marc Claesen
B. De Moor
100
443
0
07 Feb 2015
Asymptotic analysis of covariance parameter estimation for Gaussian
  processes in the misspecified case
Asymptotic analysis of covariance parameter estimation for Gaussian processes in the misspecified case
François Bachoc
108
31
0
05 Dec 2014
Asymptotic analysis of the role of spatial sampling for covariance
  parameter estimation of Gaussian processes
Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes
François Bachoc
151
56
0
18 Jan 2013
Bounding rare event probabilities in computer experiments
Bounding rare event probabilities in computer experiments
Y. Auffray
P. Barbillon
Jean-Michel Marin
78
12
0
04 May 2011
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