On the Convergence and Robustness of Training GANs with Regularized Optimal Transport

22 February 2018

Jimmy Ba

Papers citing "On the Convergence and Robustness of Training GANs with Regularized Optimal Transport"

20 / 20 papers shown

Title
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization Tianyi Lin Chi Jin Michael I. Jordan 52 6 0 28 Jan 2025
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations Xun Tang Michael Shavlovsky Holakou Rahmanian Elisa Tardini K. K. Thekumparampil Tesi Xiao Lexing Ying OT 31 4 0 20 Jan 2024
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myung-joo Kang OT 23 19 0 24 May 2023
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data Tiantian Fang Ruoyu Sun A. Schwing GAN 19 16 0 27 Nov 2022
An Optimal Transport Approach to Personalized Federated Learning Farzan Farnia Amirhossein Reisizadeh Ramtin Pedarsani Ali Jadbabaie OT OOD FedML 29 12 0 06 Jun 2022
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 21 0 0 24 Jun 2021
The Complexity of Nonconvex-Strongly-Concave Minimax Optimization Siqi Zhang Junchi Yang Cristóbal Guzmán Negar Kiyavash Niao He 31 60 0 29 Mar 2021
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 10 22 0 14 Jul 2020
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances Meisam Razaviyayn Tianjian Huang Songtao Lu Maher Nouiehed Maziar Sanjabi Mingyi Hong 19 108 0 15 Jun 2020
Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng Sathya Ravi Vikas Singh 19 5 0 30 Apr 2020
GANs May Have No Nash Equilibria Farzan Farnia Asuman Ozdaglar GAN 20 43 0 21 Feb 2020
Smoothness and Stability in GANs Casey Chu Kentaro Minami Kenji Fukumizu GAN 16 56 0 11 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 26 817 0 20 Jan 2020
Quantum Wasserstein Generative Adversarial Networks Shouvanik Chakrabarti Yiming Huang Tongyang Li S. Feizi Xiaodi Wu GNN GAN 19 83 0 31 Oct 2019
On the estimation of the Wasserstein distance in generative models Thomas Pinetz Daniel Soukup T. Pock GAN 11 9 0 02 Oct 2019
Efficient Algorithms for Smooth Minimax Optimization K. K. Thekumparampil Prateek Jain Praneeth Netrapalli Sewoong Oh 17 190 0 02 Jul 2019
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 18 70 0 13 Jun 2019
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach Aryan Mokhtari Asuman Ozdaglar S. Pattathil 17 323 0 24 Jan 2019
Solving Non-Convex Non-Concave Min-Max Games Under Polyak-Łojasiewicz Condition Maziar Sanjabi Meisam Razaviyayn J. Lee 6 35 0 07 Dec 2018