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

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

Journal of the Korean Statistical Society (JKSS), 2022
7 February 2022
Minwoo Chae
    GAN
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
Title
A Wasserstein perspective of Vanilla GANs
A Wasserstein perspective of Vanilla GANsNeural Networks (NN), 2024
Lea Kunkel
Mathias Trabs
148
12
0
22 Mar 2024
Density estimation using the perceptron
Density estimation using the perceptron
P. R. Gerber
Tianze Jiang
Yury Polyanskiy
Rui Sun
253
0
0
29 Dec 2023
Minimax optimal density estimation using a shallow generative model with
  a one-dimensional latent variable
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variableInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Hyeok Kyu Kwon
Minwoo Chae
DRL
255
3
0
11 May 2023
A likelihood approach to nonparametric estimation of a singular
  distribution using deep generative models
A likelihood approach to nonparametric estimation of a singular distribution using deep generative modelsJournal of machine learning research (JMLR), 2021
Minwoo Chae
Dongha Kim
Yongdai Kim
Lizhen Lin
437
22
0
09 May 2021
1