Scalable Gaussian Process Computations Using Hierarchical Matrices

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Scalable Gaussian Process Computations Using Hierarchical Matrices

9 August 2018

Christopher J. Geoga

Michael L. Stein

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Papers citing "Scalable Gaussian Process Computations Using Hierarchical Matrices"

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Title
Iterative Methods for Full-Scale Gaussian Process Approximations for Large Spatial Data Tim Gyger Reinhard Furrer Fabio Sigrist 65 2 0 23 May 2024
Generative Modeling via Hierarchical Tensor Sketching Yifan Peng Yian Chen E. Stoudenmire Y. Khoo 61 15 0 11 Apr 2023
Scalable Physics-based Maximum Likelihood Estimation using Hierarchical Matrices Yian Chen M. Anitescu 31 8 0 17 Mar 2023
Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data Weichang Yu S. Wade H. Bondell Lamiae Azizi 28 4 0 29 Sep 2021
Spatial Multivariate Trees for Big Data Bayesian Regression M. Peruzzi David B. Dunson 48 10 0 02 Dec 2020
Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering M. Jurek Matthias Katzfuss 53 20 0 30 Jun 2020
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges L. Swiler Mamikon A. Gulian A. Frankel Cosmin Safta J. Jakeman GP AI4CE 110 106 0 16 Jun 2020
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds J. Harlim D. Sanz-Alonso Ruiyi Yang 77 19 0 23 Oct 2019