Efficient Fourier representations of families of Gaussian processes

28 September 2021

Papers citing "Efficient Fourier representations of families of Gaussian processes"

12 / 12 papers shown

Title
Uniform approximation of common Gaussian process kernels using equispaced Fourier grids A. Barnett P. Greengard M. Rachh 92 7 0 18 May 2023
Equispaced Fourier representations for efficient Gaussian process regression from a billion data points P. Greengard M. Rachh A. Barnett 49 12 0 18 Oct 2022
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions P. Greengard M. O’Neil 41 10 0 12 Aug 2021
Gauss-Legendre Features for Gaussian Process Regression Paz Fink Shustin H. Avron GP 37 11 0 04 Jan 2021
A Fast Linear Regression via SVD and Marginalization P. Greengard Andrew Gelman Aki Vehtari 14 3 0 09 Nov 2020
Financial Applications of Gaussian Processes and Bayesian Optimization Joan Gonzalvez Edmond Lezmi T. Roncalli Jiali Xu 41 54 0 12 Mar 2019
Quadrature-based features for kernel approximation Marina Munkhoeva Yermek Kapushev Evgeny Burnaev Ivan Oseledets 40 54 0 11 Feb 2018
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution Topi Paananen Juho Piironen Michael Riis Andersen Aki Vehtari 101 51 0 21 Dec 2017
Gaussian Quadrature for Kernel Features Tri Dao Christopher De Sa Christopher Ré 54 49 0 08 Sep 2017
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 54 200 0 21 Nov 2016
Fast Direct Methods for Gaussian Processes Sivaram Ambikasaran D. Foreman-Mackey L. Greengard D. Hogg M. O’Neil 77 383 0 24 Mar 2014
Hilbert Space Methods for Reduced-Rank Gaussian Process Regression Arno Solin Simo Särkkä 135 215 0 21 Jan 2014