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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

18 October 2022
P. Greengard
M. Rachh
A. Barnett
ArXivPDFHTML

Papers citing "Equispaced Fourier representations for efficient Gaussian process regression from a billion data points"

4 / 4 papers shown
Title
Fast Summation of Radial Kernels via QMC Slicing
Fast Summation of Radial Kernels via QMC Slicing
Johannes Hertrich
Tim Jahn
Michael Quellmalz
26
5
0
02 Oct 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
28
1
0
29 Apr 2024
Uniform approximation of common Gaussian process kernels using
  equispaced Fourier grids
Uniform approximation of common Gaussian process kernels using equispaced Fourier grids
A. Barnett
P. Greengard
M. Rachh
23
7
0
18 May 2023
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