What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?

2 February 2019

Papers citing "What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?"

19 / 19 papers shown

Title
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 77 7 0 28 Jul 2024
Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks Jue Chen Huan Yuan Jianchao Tan Bin Chen Chengru Song Di Zhang 25 3 0 09 Aug 2023
A First Order Meta Stackelberg Method for Robust Federated Learning Yunian Pan Tao Li Henger Li Tianyi Xu Zizhan Zheng Quanyan Zhu FedML 35 10 0 23 Jun 2023
Primal Dual Alternating Proximal Gradient Algorithms for Nonsmooth Nonconvex Minimax Problems with Coupled Linear Constraints Hui-Li Zhang Junlin Wang Zi Xu Y. Dai 88 4 0 09 Dec 2022
Constrained Policy Optimization for Controlled Self-Learning in Conversational AI Systems Mohammad Kachuee Sungjin Lee 76 4 0 17 Sep 2022
Simultaneous Transport Evolution for Minimax Equilibria on Measures Carles Domingo-Enrich Joan Bruna 18 3 0 14 Feb 2022
A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems Babak Barazandeh Tianjian Huang George Michailidis 27 12 0 10 Jun 2021
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems Jiawei Zhang Peijun Xiao Ruoyu Sun Zhi-Quan Luo 33 97 0 29 Oct 2020
The Landscape of the Proximal Point Method for Nonconvex-Nonconcave Minimax Optimization Benjamin Grimmer Haihao Lu Pratik Worah Vahab Mirrokni 40 9 0 15 Jun 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks Zhishuai Guo Mingrui Liu Zhuoning Yuan Li Shen Wei Liu Tianbao Yang 33 42 0 05 May 2020
GANs May Have No Nash Equilibria Farzan Farnia Asuman Ozdaglar GAN 28 43 0 21 Feb 2020
Distributionally Robust Deep Learning using Hardness Weighted Sampling Lucas Fidon Michael Aertsen Thomas Deprest Doaa Emam Frédéric Guffens ... Andrew Melbourne Sébastien Ourselin Jan Deprest Georg Langs Tom Kamiel Magda Vercauteren OOD 22 10 0 08 Jan 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 58 1,181 0 24 Nov 2019
A Decentralized Proximal Point-type Method for Saddle Point Problems Weijie Liu Aryan Mokhtari Asuman Ozdaglar S. Pattathil Zebang Shen Nenggan Zheng 67 30 0 31 Oct 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
Stochastic AUC Maximization with Deep Neural Networks Mingrui Liu Zhuoning Yuan Yiming Ying Tianbao Yang 14 103 0 28 Aug 2019
Efficient Algorithms for Smooth Minimax Optimization K. K. Thekumparampil Prateek Jain Praneeth Netrapalli Sewoong Oh 22 190 0 02 Jul 2019
Rényi Fair Inference Sina Baharlouei Maher Nouiehed Ahmad Beirami Meisam Razaviyayn FaML 21 66 0 28 Jun 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games Kaipeng Zhang Zhuoran Yang Tamer Basar 27 125 0 31 May 2019