Training GANs with Optimism

31 October 2017

Papers citing "Training GANs with Optimism"

50 / 112 papers shown

Title
Second-Order Mirror Descent: Convergence in Games Beyond Averaging and Discounting Bolin Gao Lacra Pavel 25 8 0 18 Nov 2021
Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games Ioannis Anagnostides C. Daskalakis Gabriele Farina Maxwell Fishelson Noah Golowich T. Sandholm 62 53 0 11 Nov 2021
Uncoupled Bandit Learning towards Rationalizability: Benchmarks, Barriers, and Algorithms Jibang Wu Haifeng Xu Fan Yao 30 1 0 10 Nov 2021
Minimax Optimization: The Case of Convex-Submodular Arman Adibi Aryan Mokhtari Hamed Hassani 21 7 0 01 Nov 2021
Sig-Wasserstein GANs for Time Series Generation Hao Ni Lukasz Szpruch Marc Sabate Vidales Baoren Xiao Magnus Wiese Shujian Liao SyDa AI4TS 19 73 0 01 Nov 2021
GDA-AM: On the effectiveness of solving minimax optimization via Anderson Acceleration Huan He Shifan Zhao Yuanzhe Xi Joyce C. Ho Y. Saad 34 1 0 06 Oct 2021
Reversible Gromov-Monge Sampler for Simulation-Based Inference Y. Hur Wenxuan Guo Tengyuan Liang 36 9 0 28 Sep 2021
Constants of Motion: The Antidote to Chaos in Optimization and Game Dynamics Georgios Piliouras Xiao Wang 39 0 0 08 Sep 2021
Last-iterate Convergence in Extensive-Form Games Chung-Wei Lee Christian Kroer Haipeng Luo 17 39 0 27 Jun 2021
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities Aleksandr Beznosikov Pavel Dvurechensky Anastasia Koloskova V. Samokhin Sebastian U. Stich Alexander Gasnikov 32 43 0 15 Jun 2021
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization Haochuan Li Yi Tian Jingzhao Zhang Ali Jadbabaie 26 40 0 18 Apr 2021
Learning in Matrix Games can be Arbitrarily Complex Gabriel P. Andrade Rafael Frongillo Georgios Piliouras 15 31 0 05 Mar 2021
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency Yuyang Deng M. Mahdavi 30 59 0 25 Feb 2021
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games Stratis Skoulakis Tanner Fiez Ryan Sim Georgios Piliouras Lillian J. Ratliff 21 13 0 15 Dec 2020
Adaptive extra-gradient methods for min-max optimization and games Kimon Antonakopoulos E. V. Belmega P. Mertikopoulos 64 46 0 22 Oct 2020
Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence Alina Ene Huy Le Nguyen 27 14 0 15 Oct 2020
Stochastic Hamiltonian Gradient Methods for Smooth Games Nicolas Loizou Hugo Berard Alexia Jolicoeur-Martineau Pascal Vincent Simon Lacoste-Julien Ioannis Mitliagkas 39 50 0 08 Jul 2020
A Convergent and Dimension-Independent Min-Max Optimization Algorithm Vijay Keswani Oren Mangoubi Sushant Sachdeva Nisheeth K. Vishnoi 22 1 0 22 Jun 2020
Linear Last-iterate Convergence in Constrained Saddle-point Optimization Chen-Yu Wei Chung-Wei Lee Mengxiao Zhang Haipeng Luo 21 11 0 16 Jun 2020
The limits of min-max optimization algorithms: convergence to spurious non-critical sets Ya-Ping Hsieh P. Mertikopoulos V. Cevher 35 81 0 16 Jun 2020
A Unified Single-loop Alternating Gradient Projection Algorithm for Nonconvex-Concave and Convex-Nonconcave Minimax Problems Zi Xu Hui-Li Zhang Yang Xu Guanghui Lan 27 99 0 03 Jun 2020
On the Impossibility of Global Convergence in Multi-Loss Optimization Alistair Letcher 29 32 0 26 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 26 286 0 30 Apr 2020
Geometry-Aware Gradient Algorithms for Neural Architecture Search Liam Li M. Khodak Maria-Florina Balcan Ameet Talwalkar 31 67 0 16 Apr 2020
Flexible numerical optimization with ensmallen Ryan R. Curtin Marcus Edel Rahul Prabhu S. Basak Zhihao Lou Conrad Sanderson 18 1 0 09 Mar 2020
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games Tianyi Lin Zhengyuan Zhou P. Mertikopoulos Michael I. Jordan 18 49 0 23 Feb 2020
Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems Junchi Yang Negar Kiyavash Niao He 25 83 0 22 Feb 2020
GANs May Have No Nash Equilibria Farzan Farnia Asuman Ozdaglar GAN 33 43 0 21 Feb 2020
Distributed No-Regret Learning in Multi-Agent Systems Xiao Xu Qing Zhao 16 12 0 20 Feb 2020
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes Qi Lei Sai Ganesh Nagarajan Ioannis Panageas Tianlin Li 22 43 0 17 Feb 2020
Efficient Policy Learning from Surrogate-Loss Classification Reductions Andrew Bennett Nathan Kallus OffRL 31 16 0 12 Feb 2020
Invariant Risk Minimization Games Kartik Ahuja Karthikeyan Shanmugam Kush R. Varshney Amit Dhurandhar OOD 33 244 0 11 Feb 2020
Near-Optimal Algorithms for Minimax Optimization Tianyi Lin Chi Jin Michael I. Jordan 34 251 0 05 Feb 2020
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities Zhongruo Wang Krishnakumar Balasubramanian Shiqian Ma Meisam Razaviyayn 21 25 0 22 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 33 821 0 20 Jan 2020
Accelerating Smooth Games by Manipulating Spectral Shapes Waïss Azizian Damien Scieur Ioannis Mitliagkas Simon Lacoste-Julien Gauthier Gidel 33 48 0 02 Jan 2020
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets Mingrui Liu Youssef Mroueh Jerret Ross Wei Zhang Xiaodong Cui Payel Das Tianbao Yang ODL 46 63 0 26 Dec 2019
Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization Abhishek Roy Yifang Chen Krishnakumar Balasubramanian P. Mohapatra 16 26 0 03 Dec 2019
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games Lampros Flokas Emmanouil-Vasileios Vlatakis-Gkaragkounis Georgios Piliouras MLT 22 41 0 28 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 29 84 0 30 Sep 2019
Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre Gómez Armin Eftekhari V. Cevher GAN 30 43 0 07 Jul 2019
Linear Lower Bounds and Conditioning of Differentiable Games Adam Ibrahim Waïss Azizian Gauthier Gidel Ioannis Mitliagkas 31 10 0 17 Jun 2019
Revisiting Stochastic Extragradient Konstantin Mishchenko D. Kovalev Egor Shulgin Peter Richtárik Yura Malitsky 11 66 0 27 May 2019
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems Ernest K. Ryu Kun Yuan W. Yin 20 36 0 26 May 2019
Differentiable Game Mechanics Alistair Letcher David Balduzzi S. Racanière James Martens Jakob N. Foerster K. Tuyls T. Graepel 37 79 0 13 May 2019
Automatic Video Colorization using 3D Conditional Generative Adversarial Networks Panagiotis Kouzouglidis Giorgos Sfikas Christophoros Nikou GAN 13 17 0 08 May 2019
Reducing Noise in GAN Training with Variance Reduced Extragradient Tatjana Chavdarova Gauthier Gidel F. Fleuret Simon Lacoste-Julien 25 135 0 18 Apr 2019
Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System James P. Bailey Georgios Piliouras 14 40 0 05 Mar 2019
Diagnosing Bottlenecks in Deep Q-learning Algorithms Justin Fu Aviral Kumar Matthew Soh Sergey Levine OffRL 19 141 0 26 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 27 325 0 24 Jan 2019