Maximum Likelihood Estimation in Gaussian Process Regression is Ill-Posed

17 March 2022

Papers citing "Maximum Likelihood Estimation in Gaussian Process Regression is Ill-Posed"

4 / 4 papers shown

Title
Wasserstein Barycenter Gaussian Process based Bayesian Optimization Antonio Candelieri Andrea Ponti Francesco Archetti 19 0 0 18 May 2025
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 39 17 0 03 Feb 2024
An asymptotic study of the joint maximum likelihood estimation of the regularity and the amplitude parameters of a Mat{é}rn model on the circle S. Petit 29 1 0 16 Sep 2022
GParareal: A time-parallel ODE solver using Gaussian process emulation K. Pentland M. Tamborrino Timothy John Sullivan J. Buchanan Lynton C. Appel 11 8 0 31 Jan 2022