Scalable Bayesian inference for heat kernel Gaussian processes on manifolds

22 May 2024

Papers citing "Scalable Bayesian inference for heat kernel Gaussian processes on manifolds"

6 / 6 papers shown

Title
Matérn Gaussian Processes on Graphs Viacheslav Borovitskiy I. Azangulov Alexander Terenin P. Mostowsky M. Deisenroth N. Durrande 25 80 0 29 Oct 2020
Graph Based Gaussian Processes on Restricted Domains David B. Dunson Hau‐Tieng Wu Nan Wu GP 15 25 0 14 Oct 2020
Matérn Gaussian processes on Riemannian manifolds Viacheslav Borovitskiy Alexander Terenin P. Mostowsky M. Deisenroth 47 122 0 17 Jun 2020
$Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in $L^\infty$ from Random Samples$ Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in $L^\infty$ from Random Samples David B. Dunson Hau‐Tieng Wu Nan Wu 38 65 0 11 Dec 2019
Error estimates for spectral convergence of the graph Laplacian on random geometric graphs towards the Laplace--Beltrami operator Nicolas García Trillos Moritz Gerlach Matthias Hein D. Slepčev 73 172 0 30 Jan 2018
Nonparametric regression in exponential families Lawrence D. Brown T. Cai Harrison H. Zhou 54 57 0 19 Oct 2010