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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

P. Greengard
M. Rachh
A. Barnett
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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
49
5
0
02 Oct 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
92
7
0
18 May 2023
Efficient Fourier representations of families of Gaussian processes
Efficient Fourier representations of families of Gaussian processes
P. Greengard
58
3
0
28 Sep 2021
Variational Fourier features for Gaussian processes
Variational Fourier features for Gaussian processes
J. Hensman
N. Durrande
Arno Solin
VLM
54
200
0
21 Nov 2016