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An analytic comparison of regularization methods for Gaussian Processes
2 February 2016
Hossein Mohammadi
Rodolphe Le Riche
N. Durrande
E. Touboul
X. Bay
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Papers citing
"An analytic comparison of regularization methods for Gaussian Processes"
8 / 8 papers shown
Title
Bayesian optimization with improved scalability and derivative information for efficient design of nanophotonic structures
Xavier Garcia Santiago
Sven Burger
C. Rockstuhl
Philipp‐Immanuel Schneider
47
13
0
08 Jan 2021
Prediction with Approximated Gaussian Process Dynamical Models
Thomas Beckers
Sandra Hirche
AI4CE
68
19
0
25 Jun 2020
Discovery of Self-Assembling
π
π
π
-Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular Simulation
Kirill Shmilovich
R. Mansbach
Hythem Sidky
Olivia E. Dunne
S. Panda
J. Tovar
Andrew L. Ferguson
76
78
0
27 Jan 2020
Adaptive surrogate models for parametric studies
J. Fuhg
38
8
0
12 May 2019
Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification
François Bachoc
149
228
0
18 Jan 2013
Additive Covariance Kernels for High-Dimensional Gaussian Process Modeling
N. Durrande
D. Ginsbourger
O. Roustant
L. Carraro
103
102
0
27 Nov 2011
Sequential design of computer experiments for the estimation of a probability of failure
Julien Bect
D. Ginsbourger
Ling Li
Victor Picheny
E. Vázquez
114
353
0
27 Sep 2010
Cases for the nugget in modeling computer experiments
R. Gramacy
Herbert K. H. Lee
183
281
0
26 Jul 2010
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