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ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems

26 May 2019

Papers citing "ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems"

40 / 40 papers shown

Title
Reducing Noise in GAN Training with Variance Reduced Extragradient Tatjana Chavdarova Gauthier Gidel François Fleuret Simon Lacoste-Julien 58 137 0 18 Apr 2019
Training GANs with Centripetal Acceleration Wei Peng Yuhong Dai Hui Zhang Lizhi Cheng GAN 58 43 0 24 Feb 2019
Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions Adrien B. Taylor Francis R. Bach 37 63 0 03 Feb 2019
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach Aryan Mokhtari Asuman Ozdaglar S. Pattathil 97 328 0 24 Jan 2019
Global Convergence to the Equilibrium of GANs using Variational Inequalities I. Gemp Sridhar Mahadevan 68 50 0 04 Aug 2018
Negative Momentum for Improved Game Dynamics Gauthier Gidel Reyhane Askari Hemmat Mohammad Pezeshki Rémi Le Priol Gabriel Huang Simon Lacoste-Julien Ioannis Mitliagkas AI4CE 66 180 0 12 Jul 2018
Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max Optimization C. Daskalakis Ioannis Panageas 70 178 0 11 Jul 2018
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization C. Daskalakis Ioannis Panageas 72 256 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 132 295 0 07 Jul 2018
The Unusual Effectiveness of Averaging in GAN Training Yasin Yazici Chuan-Sheng Foo Stefan Winkler Kim-Hui Yap Georgios Piliouras V. Chandrasekhar 109 175 0 12 Jun 2018
Stochastic subgradient method converges on tame functions Damek Davis Dmitriy Drusvyatskiy Sham Kakade Jason D. Lee 59 251 0 20 Apr 2018
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect Xiang Wei Boqing Gong Zixia Liu W. Lu Liqiang Wang GAN 94 262 0 05 Mar 2018
A Variational Inequality Perspective on Generative Adversarial Networks Gauthier Gidel Hugo Berard Gaëtan Vignoud Pascal Vincent Simon Lacoste-Julien GAN 133 353 0 28 Feb 2018
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks Tengyuan Liang J. Stokes 109 212 0 16 Feb 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 155 4,440 0 16 Feb 2018
Which Training Methods for GANs do actually Converge? L. Mescheder Andreas Geiger Sebastian Nowozin 81 1,465 0 13 Jan 2018
Are GANs Created Equal? A Large-Scale Study Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet EGVM 63 1,011 0 28 Nov 2017
Training GANs with Optimism C. Daskalakis Andrew Ilyas Vasilis Syrgkanis Haoyang Zeng 173 519 0 31 Oct 2017
Gradient descent GAN optimization is locally stable Vaishnavh Nagarajan J. Zico Kolter GAN 74 348 0 13 Jun 2017
The Numerics of GANs L. Mescheder Sebastian Nowozin Andreas Geiger GAN 91 456 0 30 May 2017
Stabilizing Training of Generative Adversarial Networks through Regularization Kevin Roth Aurelien Lucchi Sebastian Nowozin Thomas Hofmann GAN 52 445 0 25 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 207 9,548 0 31 Mar 2017
Stochastic Methods for Composite and Weakly Convex Optimization Problems John C. Duchi Feng Ruan 39 127 0 24 Mar 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 81 2,109 0 17 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 165 1,725 0 31 Dec 2016
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 100 1,004 0 07 Nov 2016
Amortised MAP Inference for Image Super-resolution C. Sønderby Jose Caballero Lucas Theis Wenzhe Shi Ferenc Huszár 97 435 0 14 Oct 2016
Connecting Generative Adversarial Networks and Actor-Critic Methods David Pfau Oriol Vinyals OffRL AI4CE 76 186 0 06 Oct 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 258 14,012 0 19 Nov 2015
Censoring Representations with an Adversary Harrison Edwards Amos Storkey AAML FaML 66 505 0 18 Nov 2015
Adversarial Autoencoders Alireza Makhzani Jonathon Shlens Navdeep Jaitly Ian Goodfellow Brendan J. Frey GAN 86 2,224 0 18 Nov 2015
Fast Convergence of Regularized Learning in Games Vasilis Syrgkanis Alekh Agarwal Haipeng Luo Robert Schapire 60 256 0 02 Jul 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 378 9,497 0 28 May 2015
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 162 1,168 0 04 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin Victor Lempitsky OOD 233 6,030 0 26 Sep 2014
Optimization, Learning, and Games with Predictable Sequences Alexander Rakhlin Karthik Sridharan 95 380 0 08 Nov 2013
Online Learning with Predictable Sequences Alexander Rakhlin Karthik Sridharan 207 359 0 18 Aug 2012
Solving variational inequalities with Stochastic Mirror-Prox algorithm A. Juditsky A. Nemirovskii Claire Tauvel 135 443 0 04 Sep 2008