Simultaneous Transport Evolution for Minimax Equilibria on Measures

14 February 2022

Carles Domingo-Enrich

Joan Bruna

Papers citing "Simultaneous Transport Evolution for Minimax Equilibria on Measures"

21 / 21 papers shown

Title
Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks Carles Domingo-Enrich A. Bietti Marylou Gabrié Joan Bruna Eric Vanden-Eijnden FedML 50 7 0 11 Jul 2021
Train simultaneously, generalize better: Stability of gradient-based minimax learners Farzan Farnia Asuman Ozdaglar 56 47 0 23 Oct 2020
The Complexity of Constrained Min-Max Optimization C. Daskalakis Stratis Skoulakis Manolis Zampetakis 107 137 0 21 Sep 2020
A mean-field analysis of two-player zero-sum games Carles Domingo-Enrich Samy Jelassi A. Mensch Grant M. Rotskoff Joan Bruna MLT 83 41 0 14 Feb 2020
Near-Optimal Algorithms for Minimax Optimization Tianyi Lin Chi Jin Michael I. Jordan 141 254 0 05 Feb 2020
Exponential Family Estimation via Adversarial Dynamics Embedding Bo Dai Ziqiang Liu H. Dai Niao He Arthur Gretton Le Song Dale Schuurmans 60 53 0 27 Apr 2019
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? Chi Jin Praneeth Netrapalli Michael I. Jordan 88 84 0 02 Feb 2019
On Finding Local Nash Equilibria (and Only Local Nash Equilibria) in Zero-Sum Games Eric V. Mazumdar Michael I. Jordan S. Shankar Sastry 88 119 0 03 Jan 2019
Finding Mixed Nash Equilibria of Generative Adversarial Networks Ya-Ping Hsieh Chen Liu S. Chakrabartty GAN 62 92 0 23 Oct 2018
Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max Optimization C. Daskalakis Ioannis Panageas 64 178 0 11 Jul 2018
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization C. Daskalakis Ioannis Panageas 59 256 0 11 Jul 2018
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile P. Mertikopoulos Bruno Lecouat Houssam Zenati Chuan-Sheng Foo V. Chandrasekhar Georgios Piliouras 127 295 0 07 Jul 2018
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport Lénaïc Chizat Francis R. Bach OT 202 735 0 24 May 2018
A Mean Field View of the Landscape of Two-Layers Neural Networks Song Mei Andrea Montanari Phan-Minh Nguyen MLT 81 858 0 18 Apr 2018
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks Tengyuan Liang J. Stokes 97 212 0 16 Feb 2018
Which Training Methods for GANs do actually Converge? L. Mescheder Andreas Geiger Sebastian Nowozin 73 1,465 0 13 Jan 2018
Certifying Some Distributional Robustness with Principled Adversarial Training Aman Sinha Hongseok Namkoong Riccardo Volpi John C. Duchi OOD 123 863 0 29 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 285 12,060 0 19 Jun 2017
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability Shayegan Omidshafiei Jason Pazis Chris Amato Jonathan P. How J. Vian 127 498 0 17 Mar 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 166 4,824 0 26 Jan 2017
Breaking the Curse of Dimensionality with Convex Neural Networks Francis R. Bach 180 706 0 30 Dec 2014