SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization

12 October 2022

Papers citing "SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization"

8 / 8 papers shown

Title
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling Junyi Li Heng Huang 39 1 0 07 Nov 2024
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization Quoc Tran-Dinh Trang H. Tran Lam M. Nguyen 37 0 0 29 Oct 2024
On the Last-Iterate Convergence of Shuffling Gradient Methods Zijian Liu Zhengyuan Zhou 42 2 0 12 Mar 2024
Mini-Batch Optimization of Contrastive Loss Jaewoong Cho Kartik K. Sreenivasan Keon Lee Kyunghoo Mun Soheun Yi Jeong-Gwan Lee Anna Lee Jy-yong Sohn Dimitris Papailiopoulos Kangwook Lee SSL 43 7 0 12 Jul 2023
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond Jaeyoung Cha Jaewook Lee Chulhee Yun 28 23 0 13 Mar 2023
On the Training Instability of Shuffling SGD with Batch Normalization David Wu Chulhee Yun S. Sra 32 4 0 24 Feb 2023
Federated Minimax Optimization with Client Heterogeneity Pranay Sharma Rohan Panda Gauri Joshi FedML 38 9 0 08 Feb 2023
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,201 0 16 Aug 2016