Faster Stochastic Variance Reduction Methods for Compositional MiniMax
Optimization

Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization

18 August 2023

Papers citing "Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization"

11 / 11 papers shown

Title
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization Feihu Huang Chunyu Xuan Xinrui Wang Siqi Zhang Songcan Chen 52 7 0 07 Mar 2023
Stochastic Compositional Optimization with Compositional Constraints Shuoguang Yang Wei You Zhe Zhang Ethan X. Fang 49 3 0 09 Sep 2022
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients Juntang Zhuang Tommy M. Tang Yifan Ding S. Tatikonda Nicha Dvornek X. Papademetris James S. Duncan ODL 81 505 0 15 Oct 2020
Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang Tianyun Zhang Sijia Liu Pin-Yu Chen Jiacen Xu M. Fardad Yangqiu Song AAML 46 35 0 09 Jun 2019
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems Tianyi Lin Chi Jin Michael I. Jordan 70 505 0 02 Jun 2019
Adaptive Gradient Methods with Dynamic Bound of Learning Rate Liangchen Luo Yuanhao Xiong Yan Liu Xu Sun ODL 46 600 0 26 Feb 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 88 928 0 01 Feb 2019
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator Cong Fang C. J. Li Zhouchen Lin Tong Zhang 79 572 0 04 Jul 2018
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 128 9,509 0 31 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 754 11,793 0 09 Mar 2017
Stochastic Variance Reduction Methods for Saddle-Point Problems B. Palaniappan Francis R. Bach 109 212 0 20 May 2016