Small Sample Spaces for Gaussian Processes

4 March 2021

Papers citing "Small Sample Spaces for Gaussian Processes"

8 / 8 papers shown

Title
Probabilistic Richardson Extrapolation Chris J. Oates Toni Karvonen A. Teckentrup M. Strocchi Steven A Niederer 21 1 0 15 Jan 2024
Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers Marvin Pfortner Ingo Steinwart Philipp Hennig Jonathan Wenger AI4CE 36 26 0 23 Dec 2022
Disintegration of Gaussian Measures for Sequential Assimilation of Linear Operator Data Cédric Travelletti D. Ginsbourger 14 5 0 27 Jul 2022
Orthonormal Expansions for Translation-Invariant Kernels Filip Tronarp Toni Karvonen VLM 131 1 0 17 Jun 2022
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation Toni Karvonen 21 1 0 10 Mar 2022
Dynamic Pricing and Demand Learning on a Large Network of Products: A PAC-Bayesian Approach Bora Keskin D. Simchi-Levi Prem M. Talwai 13 1 0 01 Nov 2021
Estimation of the Scale Parameter for a Misspecified Gaussian Process Model Toni Karvonen 29 4 0 06 Oct 2021
Bayesian Numerical Methods for Nonlinear Partial Differential Equations Junyang Wang Jon Cockayne O. Chkrebtii T. Sullivan Chris J. Oates 53 19 0 22 Apr 2021