Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation

22 May 2020

Papers citing "Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation"

8 / 8 papers shown

Title
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features Oliver R. A. Dunbar Nicholas H. Nelsen Maya Mutic 35 5 0 30 Jun 2024
Smoothness Estimation for Whittle-Matérn Processes on Closed Riemannian Manifolds Moritz Korte-Stapff Toni Karvonen Eric Moulines 29 0 0 31 Dec 2023
Error Analysis of Kernel/GP Methods for Nonlinear and Parametric PDEs Pau Batlle Yifan Chen Bamdad Hosseini H. Owhadi Andrew M. Stuart 34 17 0 08 May 2023
One-Shot Learning of Stochastic Differential Equations with Data Adapted Kernels Matthieu Darcy B. Hamzi Giulia Livieri H. Owhadi P. Tavallali 36 26 0 24 Sep 2022
Gaussian Process Hydrodynamics H. Owhadi 24 1 0 21 Sep 2022
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 0 0 16 Sep 2022
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation Toni Karvonen 24 1 0 10 Mar 2022
Deep regularization and direct training of the inner layers of Neural Networks with Kernel Flows G. Yoo H. Owhadi 24 21 0 19 Feb 2020