Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy

6 September 2021

Papers citing "Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy"

8 / 8 papers shown

Title
Gaussian Process Regression under Computational and Epistemic Misspecification D. Sanz-Alonso Ruiyi Yang 18 1 0 14 Dec 2023
Sparse Cholesky Factorization for Solving Nonlinear PDEs via Gaussian Processes Yifan Chen H. Owhadi F. Schafer 45 31 0 03 Apr 2023
The Matérn Model: A Journey through Statistics, Numerical Analysis and Machine Learning Emilio Porcu M. Bevilacqua R. Schaback Chris J. Oates 34 14 0 05 Mar 2023
Equispaced Fourier representations for efficient Gaussian process regression from a billion data points P. Greengard M. Rachh A. Barnett 26 12 0 18 Oct 2022
Graph-based Prior and Forward Models for Inverse Problems on Manifolds with Boundaries J. Harlim Shixiao W. Jiang Hwanwoo Kim D. Sanz-Alonso 19 8 0 12 Jun 2021
Inference for Gaussian Processes with Matérn Covariogram on Compact Riemannian Manifolds Didong Li Wenpin Tang Sudipto Banerjee 26 14 0 08 Apr 2021
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective D. Sanz-Alonso Ruiyi Yang SSL 15 9 0 26 Aug 2020
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem M. Giordano Richard Nickl 39 57 0 16 Oct 2019