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Nonparametric Density Estimation & Convergence Rates for GANs under
  Besov IPM Losses

Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses

9 February 2019
Ananya Uppal
Shashank Singh
Barnabás Póczós
ArXivPDFHTML

Papers citing "Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses"

5 / 5 papers shown
Title
Statistically Optimal Generative Modeling with Maximum Deviation from
  the Empirical Distribution
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
Elen Vardanyan
Sona Hunanyan
T. Galstyan
A. Minasyan
A. Dalalyan
24
2
0
31 Jul 2023
Optimal 1-Wasserstein Distance for WGANs
Optimal 1-Wasserstein Distance for WGANs
Arthur Stéphanovitch
Ugo Tanielian
B. Cadre
N. Klutchnikoff
Gérard Biau
OT
GAN
15
3
0
08 Jan 2022
Solution of Physics-based Bayesian Inverse Problems with Deep Generative
  Priors
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors
Dhruv V. Patel
Deep Ray
Assad A. Oberai
AI4CE
11
37
0
06 Jul 2021
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient
  Flow
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow
Youssef Mroueh
Truyen V. Nguyen
13
25
0
04 Nov 2020
Generating Multi-label Discrete Patient Records using Generative
  Adversarial Networks
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
E. Choi
Siddharth Biswal
B. Malin
J. Duke
Walter F. Stewart
Jimeng Sun
SyDa
GAN
145
569
0
19 Mar 2017
1