Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression

21 December 2022

Papers citing "Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression"

5 / 5 papers shown

Title
Adaptive sparse variational approximations for Gaussian process regression Dennis Nieman Botond Szabó 38 0 0 04 Apr 2025
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression Ismaël Castillo Alice L'Huillier Kolyan Ray Luke Travis 34 0 0 18 Jun 2024
Variational Gaussian Processes For Linear Inverse Problems Thibault Randrianarisoa Botond Szabó 31 3 0 01 Nov 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior Luke Travis Kolyan Ray 24 4 0 29 Sep 2023
Contraction rates for sparse variational approximations in Gaussian process regression D. Nieman Botond Szabó Harry Van Zanten 52 17 0 22 Sep 2021