Frequentist coverage and sup-norm convergence rate in Gaussian process regression

16 August 2017

Papers citing "Frequentist coverage and sup-norm convergence rate in Gaussian process regression"

5 / 5 papers shown

Title
Deep Horseshoe Gaussian Processes Ismael Castillo Thibault Randrianarisoa BDL UQCV 44 5 0 04 Mar 2024
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression D. Nieman Botond Szabó Harry Van Zanten 39 5 0 21 Dec 2022
Optimal plug-in Gaussian processes for modelling derivatives Zejian Liu Meng Li 21 6 0 20 Oct 2022
Optimal recovery and uncertainty quantification for distributed Gaussian process regression Amine Hadji Tammo Hesselink Botond Szabó 33 3 0 06 May 2022
On Function Approximation in Reinforcement Learning: Optimism in the Face of Large State Spaces Zhuoran Yang Chi Jin Zhaoran Wang Mengdi Wang Michael I. Jordan 39 18 0 09 Nov 2020