Asymptotic analysis of maximum likelihood estimation of covariance parameters for Gaussian processes: an introduction with proofs

15 September 2020

Papers citing "Asymptotic analysis of maximum likelihood estimation of covariance parameters for Gaussian processes: an introduction with proofs"

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Title
Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs Lucas Reding A. F. López-Lopera François Bachoc 68 1 0 26 Apr 2024
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes Z. Fan Xinran Han Zehao Wang 91 4 0 20 Dec 2022
Bounds in $L^1$ Wasserstein distance on the normal approximation of general M-estimators François Bachoc M. Fathi 41 0 0 18 Nov 2021
Pre-trained Gaussian processes for Bayesian optimization Zehao Wang George E. Dahl Kevin Swersky Chansoo Lee Zachary Nado Justin Gilmer Jasper Snoek Zoubin Ghahramani 151 46 0 16 Sep 2021