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SGD Learns One-Layer Networks in WGANs

International Conference on Machine Learning (ICML), 2019

15 October 2019

Papers citing "SGD Learns One-Layer Networks in WGANs"

26 / 26 papers shown

Title
Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization Tianyi Lin Chi Jin Michael I. Jordan 397 14 0 28 Jan 2025
A Mathematical Framework for Learning Probability DistributionsJournal of Machine Learning (JML), 2022 Hongkang Yang 273 8 0 22 Dec 2022
Dissecting adaptive methods in GANs Samy Jelassi David Dobre A. Mensch Yuanzhi Li Gauthier Gidel 116 5 0 09 Oct 2022
Learning (Very) Simple Generative Models Is HardNeural Information Processing Systems (NeurIPS), 2022 Sitan Chen Jungshian Li Yuanzhi Li 132 11 0 31 May 2022
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Siqi Zhang Yifan Hu Liang Zhang Niao He 214 4 0 28 May 2022
On the Nash equilibrium of moment-matching GANs for stationary Gaussian processesMathematical and Scientific Machine Learning (MSML), 2022 Sixin Zhang GAN 230 2 0 14 Mar 2022
Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANsInternational Conference on Learning Representations (ICLR), 2022 Sitan Chen Jungshian Li Yuanzhi Li Raghu Meka GAN 175 6 0 18 Jan 2022
Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity Junchi Yang Antonio Orvieto Aurelien Lucchi Niao He 217 72 0 10 Dec 2021
On the Optimization Landscape of Maximum Mean Discrepancy A. Itai Amir Globerson A. Wiesel 132 1 0 26 Oct 2021
Reversible Gromov-Monge Sampler for Simulation-Based Inference Y. Hur Wenxuan Guo Tengyuan Liang 199 12 0 28 Sep 2021
Generalization Error of GAN from the Discriminator's PerspectiveResearch in the Mathematical Sciences (Res. Math. Sci.), 2021 Hongkang Yang Weinan E GAN 172 15 0 08 Jul 2021
Understanding Overparameterization in Generative Adversarial NetworksInternational Conference on Learning Representations (ICLR), 2021 Yogesh Balaji M. Sajedi Neha Kalibhat Mucong Ding Dominik Stöger Mahdi Soltanolkotabi Soheil Feizi AI4CE 182 23 0 12 Apr 2021
The Complexity of Nonconvex-Strongly-Concave Minimax OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2021 Siqi Zhang Junchi Yang Cristóbal Guzmán Negar Kiyavash Niao He 176 65 0 29 Mar 2021
WGAN with an Infinitely Wide Generator Has No Spurious Stationary PointsInternational Conference on Machine Learning (ICML), 2021 Albert No Taeho Yoon Sehyun Kwon Ernest K. Ryu GAN 147 2 0 15 Feb 2021
Solving Min-Max Optimization with Hidden Structure via Gradient Descent AscentNeural Information Processing Systems (NeurIPS), 2021 Lampros Flokas Emmanouil-Vasileios Vlatakis-Gkaragkounis Georgios Piliouras MLT 186 15 0 13 Jan 2021
Convergence and Sample Complexity of SGD in GANs Vasilis Kontonis Sihan Liu Christos Tzamos 138 3 0 01 Dec 2020
Generalization and Memorization: The Bias Potential ModelMathematical and Scientific Machine Learning (MSML), 2020 Hongkang Yang E. Weinan 242 13 0 29 Nov 2020
Towards a Better Global Loss Landscape of GANs Tian Ding Tiantian Fang Alex Schwing GAN 195 31 0 10 Nov 2020
Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing InstabilityAAAI Conference on Artificial Intelligence (AAAI), 2020 Litu Rout AAML 164 1 0 01 Oct 2020
GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models Farzan Farnia William Wang Subhro Das Ali Jadbabaie GAN 157 8 0 18 Jun 2020
Minimax Estimation of Conditional Moment ModelsNeural Information Processing Systems (NeurIPS), 2020 Nishanth Dikkala Greg Lewis Lester W. Mackey Vasilis Syrgkanis 423 109 0 12 Jun 2020
Making Method of Moments Great Again? -- How can GANs learn distributions Yuanzhi Li Zehao Dou GAN 216 5 0 09 Mar 2020
GANs May Have No Nash EquilibriaInternational Conference on Machine Learning (ICML), 2020 Farzan Farnia Asuman Ozdaglar GAN 167 44 0 21 Feb 2020
A mean-field analysis of two-player zero-sum gamesNeural Information Processing Systems (NeurIPS), 2020 Carles Domingo-Enrich Samy Jelassi A. Mensch Grant M. Rotskoff Joan Bruna MLT 248 48 0 14 Feb 2020
How Well Generative Adversarial Networks Learn DistributionsJournal of machine learning research (JMLR), 2018 Tengyuan Liang GAN 229 108 0 07 Nov 2018
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017 Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell GAN OOD 624 5,004 0 17 Feb 2017