Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks

16 February 2018

Papers citing "Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks"

23 / 23 papers shown

Title
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization Tianyi Lin Chi Jin Michael I. Jordan 98 8 0 28 Jan 2025
Towards Scalable Topological Regularizers Hiu-Tung Wong Darrick Lee Hong Yan BDL 97 0 0 24 Jan 2025
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach Colin Dirren Mattia Bianchi Panagiotis D. Grontas John Lygeros Florian Dorfler 87 0 0 18 Oct 2024
The Inductive Bias of Restricted f-GANs Shuang Liu Kamalika Chaudhuri GAN 43 18 0 12 Sep 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 56 255 0 11 Jul 2018
On gradient regularizers for MMD GANs Michael Arbel Danica J. Sutherland Mikolaj Binkowski Arthur Gretton 64 95 0 29 May 2018
How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View Tengyuan Liang GAN 46 37 0 21 Dec 2017
Are GANs Created Equal? A Large-Scale Study Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet EGVM 58 1,011 0 28 Nov 2017
Theoretical limitations of Encoder-Decoder GAN architectures Sanjeev Arora Andrej Risteski Yi Zhang GAN AI4CE 34 15 0 07 Nov 2017
Training GANs with Optimism C. Daskalakis Andrew Ilyas Vasilis Syrgkanis Haoyang Zeng 157 519 0 31 Oct 2017
Do GANs actually learn the distribution? An empirical study Sanjeev Arora Yi Zhang 46 192 0 26 Jun 2017
Gradient descent GAN optimization is locally stable Vaishnavh Nagarajan J. Zico Kolter GAN 69 348 0 13 Jun 2017
The Numerics of GANs L. Mescheder Sebastian Nowozin Andreas Geiger GAN 84 456 0 30 May 2017
Approximation and Convergence Properties of Generative Adversarial Learning Shuang Liu Olivier Bousquet Kamalika Chaudhuri 48 138 0 24 May 2017
Stabilizing Adversarial Nets With Prediction Methods A. Yadav Sohil Shah Zheng Xu David Jacobs Tom Goldstein ODL 82 89 0 20 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 187 9,545 0 31 Mar 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 166 4,825 0 26 Jan 2017
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 93 1,003 0 07 Nov 2016
Connecting Generative Adversarial Networks and Actor-Critic Methods David Pfau Oriol Vinyals OffRL AI4CE 70 186 0 06 Oct 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 474 9,044 0 10 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 139 1,654 0 02 Jun 2016
Optimization, Learning, and Games with Predictable Sequences Alexander Rakhlin Karthik Sridharan 92 379 0 08 Nov 2013