Estimating a density near an unknown manifold: a Bayesian nonparametric approach

31 May 2022

Papers citing "Estimating a density near an unknown manifold: a Bayesian nonparametric approach"

12 / 12 papers shown

Title
Breaking the curse of dimensionality in structured density estimation Robert A. Vandermeulen Wai Ming Tai Bryon Aragam 16 0 0 10 Oct 2024
Nonparametric regression on random geometric graphs sampled from submanifolds Paul Rosa Judith Rousseau 23 1 0 31 May 2024
A theory of stratification learning Eddie Aamari Clément Berenfeld 25 0 0 30 May 2024
Beyond the noise: intrinsic dimension estimation with optimal neighbourhood identification A. Di Noia Iuri Macocco Aldo Glielmo A. Laio Antonietta Mira 31 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
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds Paul Rosa Viacheslav Borovitskiy Alexander Terenin Judith Rousseau 19 7 0 19 Sep 2023
Support and distribution inference from noisy data Jérémie Capitao-Miniconi Elisabeth Gassiat Luc Lehéricy 9 1 0 19 Apr 2023
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks Minwoo Chae GAN 16 4 0 07 Feb 2022
Inferring Manifolds From Noisy Data Using Gaussian Processes David B. Dunson Nan Wu 28 16 0 14 Oct 2021
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models Minwoo Chae Dongha Kim Yongdai Kim Lizhen Lin 14 17 0 09 May 2021
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 164 1,926 0 24 Oct 2016
Nonparametric ridge estimation Christopher R. Genovese M. Perone-Pacifico I. Verdinelli Larry A. Wasserman 76 120 0 20 Dec 2012