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Scaled Vecchia approximation for fast computer-model emulation
v1v2v3v4 (latest)

Scaled Vecchia approximation for fast computer-model emulation

1 May 2020
Matthias Katzfuss
J. Guinness
E. Lawrence
ArXiv (abs)PDFHTML

Papers citing "Scaled Vecchia approximation for fast computer-model emulation"

24 / 24 papers shown
Title
Correspondence of NNGP Kernel and the Matern Kernel
Correspondence of NNGP Kernel and the Matern Kernel
Amanda Muyskens
Benjamin W. Priest
I. Goumiri
M. Schneider
BDL
148
1
0
10 Oct 2024
Aggregation Models with Optimal Weights for Distributed Gaussian
  Processes
Aggregation Models with Optimal Weights for Distributed Gaussian Processes
Liam Hebert
Sukhdeep S. Sodhi
62
0
0
01 Aug 2024
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz
  Preconditioner
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner
Haoyuan Chen
Rui Tuo
69
0
0
01 Aug 2024
The inverse Kalman filter
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
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
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
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
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
Linear-Cost Vecchia Approximation of Multivariate Normal Probabilities
Jian Cao
Matthias Katzfuss
69
1
0
15 Nov 2023
Scalable Model-Based Gaussian Process Clustering
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
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks
Felix Jimenez
Matthias Katzfuss
BDLUQCV
109
1
0
26 May 2023
Variational sparse inverse Cholesky approximation for latent Gaussian
  processes via double Kullback-Leibler minimization
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
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
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
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
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
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
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
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
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
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
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
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
Vecchia approximations of Gaussian-process predictions
Matthias Katzfuss
J. Guinness
Wenlong Gong
Daniel Zilber
104
93
0
08 May 2018
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