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2005.00386
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Scaled Vecchia approximation for fast computer-model emulation
1 May 2020
Matthias Katzfuss
J. Guinness
E. Lawrence
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Papers citing
"Scaled Vecchia approximation for fast computer-model emulation"
24 / 24 papers shown
Title
Correspondence of NNGP Kernel and the Matern Kernel
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Benjamin W. Priest
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Aggregation Models with Optimal Weights for Distributed Gaussian Processes
Liam Hebert
Sukhdeep S. Sodhi
62
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01 Aug 2024
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner
Haoyuan Chen
Rui Tuo
69
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0
01 Aug 2024
The inverse Kalman filter
X. Fang
Mengyang Gu
66
1
0
14 Jul 2024
GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations
Qilong Pan
Sameh Abdulah
M. Genton
David E. Keyes
Hatem Ltaief
Ying Sun
61
2
0
12 Mar 2024
A General Theory for Kernel Packets: from state space model to compactly supported basis
Liang Ding
Rui Tuo
34
1
0
06 Feb 2024
Asymptotic properties of Vecchia approximation for Gaussian processes
Myeongjong Kang
Florian Schafer
J. Guinness
Matthias Katzfuss
87
6
0
29 Jan 2024
Multi-resolution filters via linear projection for large spatio-temporal datasets
Toshihiro Hirano
Tsunehiro Ishihara
41
0
0
10 Jan 2024
Linear-Cost Vecchia Approximation of Multivariate Normal Probabilities
Jian Cao
Matthias Katzfuss
69
1
0
15 Nov 2023
Scalable Model-Based Gaussian Process Clustering
Anirban Chakraborty
Abhisek Chakraborty
62
1
0
14 Sep 2023
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks
Felix Jimenez
Matthias Katzfuss
BDL
UQCV
109
1
0
26 May 2023
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization
JIAN-PENG Cao
Myeongjong Kang
Felix Jimenez
H. Sang
Florian Schäfer
Matthias Katzfuss
73
7
0
30 Jan 2023
Vecchia-approximated Deep Gaussian Processes for Computer Experiments
Annie Sauer
A. Cooper
R. Gramacy
83
36
0
06 Apr 2022
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes
Felix Jimenez
Matthias Katzfuss
69
10
0
02 Mar 2022
Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference
Myeong K. Kang
Matthias Katzfuss
72
24
0
29 Dec 2021
Scalable Bayesian transport maps for high-dimensional non-Gaussian spatial fields
Matthias Katzfuss
Florian Schafer
OT
118
14
0
09 Aug 2021
Sensitivity Prewarping for Local Surrogate Modeling
Nathan Wycoff
M. Binois
R. Gramacy
75
10
0
15 Jan 2021
Bayesian nonstationary and nonparametric covariance estimation for large spatial data
Brian Kidd
Matthias Katzfuss
67
14
0
10 Dec 2020
Locally induced Gaussian processes for large-scale simulation experiments
D. Cole
R. Christianson
R. Gramacy
77
21
0
28 Aug 2020
Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering
M. Jurek
Matthias Katzfuss
58
20
0
30 Jun 2020
A multi-resolution approximation via linear projection for large spatial datasets
Toshihiro Hirano
34
1
0
10 Apr 2020
Estimating Basis Functions in Massive Fields under the Spatial Mixed Effects Model
K. Pazdernik
R. Maitra
10
0
0
12 Mar 2020
Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data
Daniel Zilber
Matthias Katzfuss
84
34
0
18 Jun 2019
Vecchia approximations of Gaussian-process predictions
Matthias Katzfuss
J. Guinness
Wenlong Gong
Daniel Zilber
104
93
0
08 May 2018
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