Posterior Contraction Rates for Matérn Gaussian Processes on
Riemannian Manifolds

Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds

19 September 2023

Viacheslav Borovitskiy

Alexander Terenin

Judith Rousseau

Papers citing "Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds"

9 / 9 papers shown

Title
Residual Deep Gaussian Processes on Manifolds Kacper Wyrwal Andreas Krause Viacheslav Borovitskiy BDL 39 0 0 31 Oct 2024
The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs P. Mostowsky Vincent Dutordoir I. Azangulov Noémie Jaquier Michael John Hutchinson Aditya Ravuri Leonel Rozo Alexander Terenin Viacheslav Borovitskiy 29 5 0 10 Jul 2024
Nonparametric regression on random geometric graphs sampled from submanifolds Paul Rosa Judith Rousseau 18 1 0 31 May 2024
Beyond the noise: intrinsic dimension estimation with optimal neighbourhood identification A. Di Noia Iuri Macocco Aldo Glielmo A. Laio Antonietta Mira 29 2 0 24 May 2024
Contraction rates and projection subspace estimation with Gaussian process priors in high dimension Elie Odin F. Bachoc A. Lagnoux 19 0 0 06 Mar 2024
Intrinsic Gaussian Vector Fields on Manifolds Daniel Robert-Nicoud Andreas Krause Viacheslav Borovitskiy 16 5 0 28 Oct 2023
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces I. Azangulov A. Smolensky Alexander Terenin Viacheslav Borovitskiy 32 14 0 30 Jan 2023
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case I. Azangulov A. Smolensky Alexander Terenin Viacheslav Borovitskiy 31 21 0 31 Aug 2022
Estimating a density near an unknown manifold: a Bayesian nonparametric approach Clément Berenfeld Paul Rosa Judith Rousseau 23 10 0 31 May 2022