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Robust W-GAN-Based Estimation Under Wasserstein Contamination

Robust W-GAN-Based Estimation Under Wasserstein Contamination

20 January 2021
Zheng Liu
Po-Ling Loh
ArXiv (abs)PDFHTML

Papers citing "Robust W-GAN-Based Estimation Under Wasserstein Contamination"

23 / 23 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
Robust Estimation for Nonparametric Families via Generative Adversarial
  Networks
Robust Estimation for Nonparametric Families via Generative Adversarial Networks
Banghua Zhu
Jiantao Jiao
Michael I. Jordan
GAN
61
4
0
02 Feb 2022
Multi-marginal Wasserstein GAN
Multi-marginal Wasserstein GAN
Jingyun Liang
Langyuan Mo
Yifan Zhang
Kui Jia
Chunhua Shen
Mingkui Tan
52
78
0
03 Nov 2019
Generalized Resilience and Robust Statistics
Generalized Resilience and Robust Statistics
Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
65
45
0
19 Sep 2019
Sliced Gromov-Wasserstein
Sliced Gromov-Wasserstein
Titouan Vayer
Rémi Flamary
Romain Tavenard
Laetitia Chapel
Nicolas Courty
OT
52
100
0
24 May 2019
Generative Adversarial Nets for Robust Scatter Estimation: A Proper
  Scoring Rule Perspective
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective
Chao Gao
Yuan Yao
Weizhi Zhu
58
22
0
05 Mar 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Eric Wong
Frank R. Schmidt
J. Zico Kolter
AAML
78
211
0
21 Feb 2019
Deconstructing Generative Adversarial Networks
Deconstructing Generative Adversarial Networks
Banghua Zhu
Jiantao Jiao
David Tse
60
49
0
27 Jan 2019
Robust Estimation and Generative Adversarial Nets
Robust Estimation and Generative Adversarial Nets
Chao Gao
Jiyi Liu
Yuan Yao
Weizhi Zhu
105
28
0
04 Oct 2018
Banach Wasserstein GAN
Banach Wasserstein GAN
J. Adler
Sebastian Lunz
GAN
51
222
0
18 Jun 2018
Wasserstein Auto-Encoders
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
122
1,057
0
05 Nov 2017
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
172
4,826
0
26 Jan 2017
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
154
1,656
0
02 Jun 2016
Quantifying Distributional Model Risk via Optimal Transport
Quantifying Distributional Model Risk via Optimal Transport
Jose H. Blanchet
Karthyek Murthy
78
426
0
05 Apr 2016
A General Decision Theory for Huber's $ε$-Contamination Model
A General Decision Theory for Huber's εεε-Contamination Model
Mengjie Chen
Chao Gao
Zhao Ren
43
26
0
13 Nov 2015
Distributionally Robust Logistic Regression
Distributionally Robust Logistic Regression
Soroosh Shafieezadeh-Abadeh
Peyman Mohajerin Esfahani
Daniel Kuhn
OOD
78
306
0
30 Sep 2015
Robust Covariance and Scatter Matrix Estimation under Huber's
  Contamination Model
Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model
Mengjie Chen
Chao Gao
Zhao Ren
74
167
0
01 Jun 2015
Volume Ratio, Sparsity, and Minimaxity under Unitarily Invariant Norms
Volume Ratio, Sparsity, and Minimaxity under Unitarily Invariant Norms
Zongming Ma
Yihong Wu
144
33
0
15 Jun 2013
Optimal Estimation and Rank Detection for Sparse Spiked Covariance
  Matrices
Optimal Estimation and Rank Detection for Sparse Spiked Covariance Matrices
Tony Cai
Zongming Ma
Yihong Wu
130
160
0
14 May 2013
Asymptotically minimax empirical Bayes estimation of a sparse normal
  mean vector
Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector
Ryan Martin
S. Walker
59
65
0
27 Apr 2013
Optimal rates of convergence for sparse covariance matrix estimation
Optimal rates of convergence for sparse covariance matrix estimation
T. Cai
Harrison H. Zhou
145
246
0
13 Feb 2013
Optimal rates of convergence for covariance matrix estimation
Optimal rates of convergence for covariance matrix estimation
Tommaso Cai
Cun-Hui Zhang
Harrison H. Zhou
164
474
0
19 Oct 2010
Estimating divergence functionals and the likelihood ratio by convex
  risk minimization
Estimating divergence functionals and the likelihood ratio by convex risk minimization
X. Nguyen
Martin J. Wainwright
Michael I. Jordan
227
804
0
04 Sep 2008
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