A Variational Inequality Perspective on Generative Adversarial Networks

28 February 2018

Pascal Vincent

Papers citing "A Variational Inequality Perspective on Generative Adversarial Networks"

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Title
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach Colin Dirren Mattia Bianchi Panagiotis D. Grontas John Lygeros Florian Dorfler 36 0 0 18 Oct 2024
Primal Methods for Variational Inequality Problems with Functional Constraints Liang Zhang Niao He Michael Muehlebach 42 2 0 19 Mar 2024
Dealing with unbounded gradients in stochastic saddle-point optimization Gergely Neu Nneka Okolo 37 3 0 21 Feb 2024
Aligning Individual and Collective Objectives in Multi-Agent Cooperation Yang Li Wenhao Zhang Jianhong Wang Shao Zhang Yali Du Ying Wen Wei Pan 26 1 0 19 Feb 2024
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization Liang Zhang Junchi Yang Amin Karbasi Niao He 31 2 0 26 Oct 2023
Stable Nonconvex-Nonconcave Training via Linear Interpolation Thomas Pethick Wanyun Xie V. Cevher 27 5 0 20 Oct 2023
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees Ali Ramezani-Kebrya Kimon Antonakopoulos Igor Krawczuk Justin Deschenaux V. Cevher 36 2 0 17 Aug 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation Davoud Ataee Tarzanagh Mingchen Li Pranay Sharma Samet Oymak 26 0 0 02 Jun 2023
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities Aleksandr Beznosikov S. Samsonov Marina Sheshukova Alexander Gasnikov A. Naumov Eric Moulines 39 14 0 25 May 2023
Sublinear Convergence Rates of Extragradient-Type Methods: A Survey on Classical and Recent Developments Quoc Tran-Dinh 35 7 0 30 Mar 2023
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions S. Choudhury Eduard A. Gorbunov Nicolas Loizou 25 13 0 27 Feb 2023
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems Thomas Pethick P. Latafat Panagiotis Patrinos Olivier Fercoq V. Cevher 33 45 0 20 Feb 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities Aleksandr Beznosikov Martin Takáč Alexander Gasnikov 29 10 0 15 Feb 2023
A Fully First-Order Method for Stochastic Bilevel Optimization Jeongyeol Kwon Dohyun Kwon S. Wright Robert D. Nowak 30 68 0 26 Jan 2023
A first-order augmented Lagrangian method for constrained minimax optimization Zhaosong Lu Sanyou Mei 23 6 0 05 Jan 2023
Zeroth-Order Alternating Gradient Descent Ascent Algorithms for a Class of Nonconvex-Nonconcave Minimax Problems Zi Xu Ziqi Wang Junlin Wang Y. Dai 18 11 0 24 Nov 2022
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization Xiang Li Junchi Yang Niao He 26 8 0 31 Oct 2022
SARAH-based Variance-reduced Algorithm for Stochastic Finite-sum Cocoercive Variational Inequalities Aleksandr Beznosikov Alexander Gasnikov 37 2 0 12 Oct 2022
Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey Aleksandr Beznosikov Boris Polyak Eduard A. Gorbunov D. Kovalev Alexander Gasnikov 42 31 0 29 Aug 2022
Generating Diverse Vocal Bursts with StyleGAN2 and MEL-Spectrograms Marco Jiralerspong Gauthier Gidel VLM 21 3 0 25 Jun 2022
On Scaled Methods for Saddle Point Problems Aleksandr Beznosikov Aibek Alanov D. Kovalev Martin Takáč Alexander Gasnikov 27 4 0 16 Jun 2022
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization Junchi Yang Xiang Li Niao He ODL 27 22 0 01 Jun 2022
HessianFR: An Efficient Hessian-based Follow-the-Ridge Algorithm for Minimax Optimization Yihang Gao Huafeng Liu Michael K. Ng Mingjie Zhou 25 2 0 23 May 2022
The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization D. Kovalev Alexander Gasnikov 29 15 0 11 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh Mingchen Li Christos Thrampoulidis Samet Oymak FedML 40 73 0 04 May 2022
The ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts Alice Baird Panagiotis Tzirakis Gauthier Gidel Marco Jiralerspong Eilif B. Muller Kory W. Mathewson Björn Schuller Erik Cambria D. Keltner Alan S. Cowen VLM 28 30 0 03 May 2022
Distributed Statistical Min-Max Learning in the Presence of Byzantine Agents Arman Adibi A. Mitra George J. Pappas Hamed Hassani 19 3 0 07 Apr 2022
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance Shiwei Liu Yuesong Tian Tianlong Chen Li Shen 36 8 0 05 Mar 2022
Myriad: a real-world testbed to bridge trajectory optimization and deep learning Nikolaus H. R. Howe Simon Dufort-Labbé Nitarshan Rajkumar Pierre-Luc Bacon 32 5 0 22 Feb 2022
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness Beomsu Kim Junghoon Seo AAML 20 0 0 21 Feb 2022
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods Aleksandr Beznosikov Eduard A. Gorbunov Hugo Berard Nicolas Loizou 19 48 0 15 Feb 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities D. Kovalev Aleksandr Beznosikov Abdurakhmon Sadiev Michael Persiianov Peter Richtárik Alexander Gasnikov 35 34 0 06 Feb 2022
No-Regret Dynamics in the Fenchel Game: A Unified Framework for Algorithmic Convex Optimization Jun-Kun Wang Jacob D. Abernethy Kfir Y. Levy 21 21 0 22 Nov 2021
Stochastic Extragradient: General Analysis and Improved Rates Eduard A. Gorbunov Hugo Berard Gauthier Gidel Nicolas Loizou 19 40 0 16 Nov 2021
Training Generative Adversarial Networks with Adaptive Composite Gradient Huiqing Qi Fang Li Shengli Tan Xiangyun Zhang GAN 23 3 0 10 Nov 2021
Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks Younes Boulaguiem Jakob Zscheischler Edoardo Vignotto K. Wiel Sebastian Engelke 15 3 0 30 Oct 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
Adversarial Representation Learning With Closed-Form Solvers Bashir Sadeghi Lan Wang Vishnu Naresh Boddeti 34 5 0 12 Sep 2021
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems Tianyi Chen Yuejiao Sun W. Yin 24 33 0 25 Jun 2021
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium Yu-Guan Hsieh Kimon Antonakopoulos P. Mertikopoulos 16 74 0 26 Apr 2021
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization Haochuan Li Yi Tian Jingzhao Zhang Ali Jadbabaie 24 40 0 18 Apr 2021
The Complexity of Nonconvex-Strongly-Concave Minimax Optimization Siqi Zhang Junchi Yang Cristóbal Guzmán Negar Kiyavash Niao He 33 61 0 29 Mar 2021
An Introduction to Deep Generative Modeling Lars Ruthotto E. Haber AI4CE 27 220 0 09 Mar 2021
Learning in Matrix Games can be Arbitrarily Complex Gabriel P. Andrade Rafael M. Frongillo Georgios Piliouras 15 31 0 05 Mar 2021
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency Yuyang Deng M. Mahdavi 30 58 0 25 Feb 2021
Decentralized Distributed Optimization for Saddle Point Problems Alexander Rogozin Alexander Beznosikov D. Dvinskikh D. Kovalev Pavel Dvurechensky Alexander Gasnikov 28 27 0 15 Feb 2021
Influence Estimation for Generative Adversarial Networks Naoyuki Terashita Hiroki Ohashi Yuichi Nonaka T. Kanemaru TDI 35 12 0 20 Jan 2021
Adaptive extra-gradient methods for min-max optimization and games Kimon Antonakopoulos E. V. Belmega P. Mertikopoulos 54 46 0 22 Oct 2020
Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence Alina Ene Huy Le Nguyen 19 13 0 15 Oct 2020
A Hölderian backtracking method for min-max and min-min problems Jérôme Bolte Lilian E. Glaudin Edouard Pauwels M. Serrurier 29 9 0 17 Jul 2020