Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks

7 February 2022

Papers citing "Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks"

23 / 23 papers shown

Title
Optimal transport map estimation in general function spaces Vincent Divol Jonathan Niles-Weed Aram-Alexandre Pooladian OT 80 24 0 07 Dec 2022
Estimating a density near an unknown manifold: a Bayesian nonparametric approach Clément Berenfeld Paul Rosa Judith Rousseau 92 10 0 31 May 2022
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections Nabarun Deb Promit Ghosal B. Sen OT 105 75 0 04 Jul 2021
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models Minwoo Chae Dongha Kim Yongdai Kim Lizhen Lin 74 17 0 09 May 2021
Measure estimation on manifolds: an optimal transport approach Vincent Divol OT 150 21 0 15 Feb 2021
The limits of min-max optimization algorithms: convergence to spurious non-critical sets Ya-Ping Hsieh P. Mertikopoulos Volkan Cevher 94 85 0 16 Jun 2020
Convergence of de Finetti's mixing measure in latent structure models for observed exchangeable sequences Yun-Chun Wei X. Nguyen 34 10 0 12 Apr 2020
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Daniel Kuhn Peyman Mohajerin Esfahani Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh OOD 64 395 0 23 Aug 2019
Smooth function approximation by deep neural networks with general activation functions Ilsang Ohn Yongdai Kim 50 80 0 17 Jun 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 619 10,595 0 12 Dec 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 88 531 0 28 May 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 124 213 0 26 Apr 2018
Which Training Methods for GANs do actually Converge? L. Mescheder Andreas Geiger Sebastian Nowozin 84 1,468 0 13 Jan 2018
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 240 816 0 22 Aug 2017
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance Jonathan Niles-Weed Francis R. Bach 213 421 0 01 Jul 2017
Non-Asymptotic Rates for Manifold, Tangent Space, and Curvature Estimation Eddie Aamari Clément Levrard 181 75 0 02 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,564 0 31 Mar 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 83 2,112 0 17 Jan 2017
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 275 14,027 0 19 Nov 2015
Manifold estimation and singular deconvolution under Hausdorff loss Christopher R. Genovese M. Perone-Pacifico I. Verdinelli Larry A. Wasserman UQCV 96 101 0 21 Sep 2011
Convergence of latent mixing measures in finite and infinite mixture models X. Nguyen 120 185 0 15 Sep 2011
Latent Factor Models for Density Estimation Suprateek Kundu David B. Dunson 126 21 0 12 Aug 2011
Minimax Manifold Estimation Christopher R. Genovese M. Perone-Pacifico I. Verdinelli Larry A. Wasserman 130 128 0 04 Jul 2010