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

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

Amine Hadji
B. Szabó
ArXiv (abs)PDFHTML

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
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
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
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation
Toni Karvonen
75
3
0
10 Mar 2022
Estimation of the Scale Parameter for a Misspecified Gaussian Process Model
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
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
Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors
Judith Rousseau
Botond Szabó
102
22
0
16 Sep 2016