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Distribution Approximation and Statistical Estimation Guarantees of
  Generative Adversarial Networks

Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks

10 February 2020
Minshuo Chen
Wenjing Liao
H. Zha
Tuo Zhao
ArXivPDFHTML

Papers citing "Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks"

4 / 4 papers shown
Title
Model Free Prediction with Uncertainty Assessment
Model Free Prediction with Uncertainty Assessment
Yuling Jiao
Lican Kang
Jin Liu
Heng Peng
Heng Zuo
DiffM
28
0
0
21 May 2024
Generative adversarial learning with optimal input dimension and its
  adaptive generator architecture
Generative adversarial learning with optimal input dimension and its adaptive generator architecture
Zhiyao Tan
Ling Zhou
Huazhen Lin
GAN
16
0
0
06 May 2024
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically
  Low-dimensional Data
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
Saptarshi Chakraborty
Peter L. Bartlett
36
1
0
24 Feb 2024
Statistical Guarantees of Group-Invariant GANs
Statistical Guarantees of Group-Invariant GANs
Ziyu Chen
M. Katsoulakis
Luc Rey-Bellet
Wei-wei Zhu
34
2
0
22 May 2023
1