Minimax adaptive estimation in manifold inference

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Minimax adaptive estimation in manifold inference

14 January 2020

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Papers citing "Minimax adaptive estimation in manifold inference"

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Title
Measure estimation on a manifold explored by a diffusion process Vincent Divol Hélene Guérin Dinh-Toan Nguyen Viet Tran OT 99 0 0 15 Oct 2024
Hardness of Learning Neural Networks under the Manifold Hypothesis B. Kiani Jason Wang Melanie Weber 72 4 0 03 Jun 2024
A theory of stratification learning Eddie Aamari Clément Berenfeld 97 0 0 30 May 2024
$Computable bounds for the reach and $r$-convexity of subsets of $\mathbb{R}^d$$ Computable bounds for the reach and $r$ -convexity of subsets of $\mathbb{R}^d$ Ryan Cotsakis 90 2 0 02 Dec 2022
Optimal Reach Estimation and Metric Learning Eddie Aamari Clément Berenfeld Clément Levrard 57 9 0 13 Jul 2022
Estimating a density near an unknown manifold: a Bayesian nonparametric approach Clément Berenfeld Paul Rosa Judith Rousseau 106 10 0 31 May 2022
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks Minwoo Chae GAN 81 5 0 07 Feb 2022
Minimax Boundary Estimation and Estimation with Boundary Eddie Aamari C. Aaron Clément Levrard 82 10 0 06 Aug 2021
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models Minwoo Chae Dongha Kim Yongdai Kim Lizhen Lin 76 17 0 09 May 2021
Measure estimation on manifolds: an optimal transport approach Vincent Divol OT 158 21 0 15 Feb 2021
Minimax Estimation of Distances on a Surface and Minimax Manifold Learning in the Isometric-to-Convex Setting E. Arias-Castro Phong Alain Chau 141 5 0 25 Nov 2020
Estimating the reach of a manifold via its convexity defect function Clément Berenfeld John Harvey M. Hoffmann K. Shankar 109 25 0 22 Jan 2020