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Uniform approximation of common Gaussian process kernels using
  equispaced Fourier grids

Uniform approximation of common Gaussian process kernels using equispaced Fourier grids

18 May 2023
A. Barnett
P. Greengard
M. Rachh
ArXivPDFHTML

Papers citing "Uniform approximation of common Gaussian process kernels using equispaced Fourier grids"

5 / 5 papers shown
Title
Gaussian process regression with log-linear scaling for common
  non-stationary kernels
Gaussian process regression with log-linear scaling for common non-stationary kernels
P. M. Kielstra
Michael Lindsey
GP
54
1
0
04 Jul 2024
Fast Adaptive Fourier Integration for Spectral Densities of Gaussian
  Processes
Fast Adaptive Fourier Integration for Spectral Densities of Gaussian Processes
Paul G. Beckman
Christopher J. Geoga
23
1
0
29 Apr 2024
Equispaced Fourier representations for efficient Gaussian process
  regression from a billion data points
Equispaced Fourier representations for efficient Gaussian process regression from a billion data points
P. Greengard
M. Rachh
A. Barnett
16
11
0
18 Oct 2022
Posterior and Computational Uncertainty in Gaussian Processes
Posterior and Computational Uncertainty in Gaussian Processes
Jonathan Wenger
Geoff Pleiss
Marvin Pfortner
Philipp Hennig
John P. Cunningham
72
19
0
30 May 2022
Efficient Fourier representations of families of Gaussian processes
Efficient Fourier representations of families of Gaussian processes
P. Greengard
38
3
0
28 Sep 2021
1