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Analysis of Kernel Mirror Prox for Measure Optimization

Analysis of Kernel Mirror Prox for Measure Optimization

29 February 2024
Pavel Dvurechensky
Jia Jie Zhu
ArXivPDFHTML

Papers citing "Analysis of Kernel Mirror Prox for Measure Optimization"

5 / 5 papers shown
Title
Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow
  Perspective
Inclusive KL Minimization: A Wasserstein-Fisher-Rao Gradient Flow Perspective
Jia-Jie Zhu
66
1
0
31 Oct 2024
Mirror Descent-Ascent for mean-field min-max problems
Mirror Descent-Ascent for mean-field min-max problems
Razvan-Andrei Lascu
Mateusz B. Majka
Lukasz Szpruch
21
1
0
12 Feb 2024
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
192
345
0
15 Dec 2021
Wasserstein-2 Generative Networks
Wasserstein-2 Generative Networks
Alexander Korotin
Vage Egiazarian
Arip Asadulaev
Alexander Safin
E. Burnaev
GAN
115
100
0
28 Sep 2019
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
173
596
0
22 Sep 2016
1