Can we trust Bayesian uncertainty quantification from Gaussian process priors with squared exponential covariance kernel?

2 April 2019

Papers citing "Can we trust Bayesian uncertainty quantification from Gaussian process priors with squared exponential covariance kernel?"

6 / 6 papers shown

Title
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression D. Nieman Botond Szabó Harry Van Zanten 123 5 0 21 Dec 2022
Optimal recovery and uncertainty quantification for distributed Gaussian process regression Amine Hadji Tammo Hesselink Botond Szabó 72 3 0 06 May 2022
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation Toni Karvonen 73 3 0 10 Mar 2022
Estimation of the Scale Parameter for a Misspecified Gaussian Process Model Toni Karvonen 55 4 0 06 Oct 2021
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions Toni Karvonen George Wynne Filip Tronarp Chris J. Oates Simo Särkkä 113 39 0 29 Jan 2020
Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors Judith Rousseau Botond Szabó 99 22 0 16 Sep 2016