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On ANOVA decompositions of kernels and Gaussian random field paths
v1v2 (latest)

On ANOVA decompositions of kernels and Gaussian random field paths

Monte Carlo and Quasi-Monte Carlo Methods (MCQMC), 2014
21 September 2014
D. Ginsbourger
O. Roustant
Dominic Schuhmacher
N. Durrande
Nicolas Lenz
ArXiv (abs)PDFHTML

Papers citing "On ANOVA decompositions of kernels and Gaussian random field paths"

7 / 7 papers shown
Effect Decomposition of Functional-Output Computer Experiments via Orthogonal Additive Gaussian Processes
Effect Decomposition of Functional-Output Computer Experiments via Orthogonal Additive Gaussian Processes
Yu Tan
Yongxiang Li
Xiaowu Dai
Kwok-Leung Tsui
212
0
0
15 Jun 2025
A Dictionary of Closed-Form Kernel Mean Embeddings
A Dictionary of Closed-Form Kernel Mean Embeddings
F. Briol
A. Gessner
Toni Karvonen
Maren Mahsereci
BDL
455
6
0
26 Apr 2025
Combining additivity and active subspaces for high-dimensional Gaussian
  process modeling
Combining additivity and active subspaces for high-dimensional Gaussian process modeling
M. Binois
Victor Picheny
320
1
0
06 Feb 2024
Kernel-based sensitivity analysis for (excursion) sets
Kernel-based sensitivity analysis for (excursion) sets
Noé Fellmann
Christophette Blanchet-Scalliet
C. Helbert
Adrien Spagnol
D. Sinoquet
347
7
0
16 May 2023
Additive Gaussian Processes Revisited
Additive Gaussian Processes RevisitedInternational Conference on Machine Learning (ICML), 2022
Xiaoyu Lu
A. Boukouvalas
J. Hensman
179
31
0
20 Jun 2022
High Dimensional Bayesian Optimization with Kernel Principal Component
  Analysis
High Dimensional Bayesian Optimization with Kernel Principal Component AnalysisParallel Problem Solving from Nature (PPSN), 2022
Kirill Antonov
Elena Raponi
Hao Wang
Carola Doerr
234
15
0
28 Apr 2022
Bayesian quadrature and energy minimization for space-filling design
Bayesian quadrature and energy minimization for space-filling design
L. Pronzato
A. Zhigljavsky
367
9
0
31 Aug 2018
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