Vecchia approximations of Gaussian-process predictions

Vecchia approximations of Gaussian-process predictions

8 May 2018

Matthias Katzfuss

Papers citing "Vecchia approximations of Gaussian-process predictions"

11 / 11 papers shown

Title
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes Yunyue Wei Vincent Zhuang Saraswati Soedarmadji Yanan Sui 209 0 0 31 Dec 2024
Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrinkage Anirban Chakraborty Matthias Katzfuss OT 34 1 0 28 Sep 2024
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes Felix Jimenez Matthias Katzfuss 21 10 0 02 Mar 2022
Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits Hao Chen Lili Zheng Raed Al Kontar Garvesh Raskutti 24 3 0 19 Nov 2021
Ordered conditional approximation of Potts models Anirban Chakraborty Matthias Katzfuss J. Guinness TPM 13 1 0 13 Oct 2021
Adapting conditional simulation using circulant embedding for irregularly spaced spatial data M. Bailey S. Bandyopadhyay D. Nychka 53 3 0 22 Sep 2021
Bayesian nonstationary and nonparametric covariance estimation for large spatial data Brian Kidd Matthias Katzfuss 26 14 0 10 Dec 2020
Scaled Vecchia approximation for fast computer-model emulation Matthias Katzfuss J. Guinness E. Lawrence 19 40 0 01 May 2020
Sparse Cholesky factorization by Kullback-Leibler minimization Florian Schäfer Matthias Katzfuss H. Owhadi 19 92 0 29 Apr 2020
Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data Daniel Zilber Matthias Katzfuss 22 34 0 18 Jun 2019
Local Gaussian process approximation for large computer experiments R. Gramacy D. Apley 127 392 0 02 Mar 2013