Stochastic Anderson Mixing for Nonconvex Stochastic Optimization

Stochastic Anderson Mixing for Nonconvex Stochastic Optimization

4 October 2021

Yang Liu

Papers citing "Stochastic Anderson Mixing for Nonconvex Stochastic Optimization"

7 / 7 papers shown

Title
FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration Xue Feng M. Paul Laiu Thomas Strohmer FedML 68 0 0 14 Mar 2025
Accelerating AI Performance using Anderson Extrapolation on GPUs Saleem Al Dajani David Keyes 28 0 0 25 Oct 2024
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models Junda Wu Xintong Li Tong Yu Yu-Xiang Wang Xiang Chen Jiuxiang Gu Lina Yao Jingbo Shang Julian McAuley 47 0 0 29 Jul 2024
An Efficient Nonlinear Acceleration method that Exploits Symmetry of the Hessian Huan He Shifan Zhao Z. Tang Joyce C. Ho Y. Saad Yuanzhe Xi 24 3 0 22 Oct 2022
Beyond L1: Faster and Better Sparse Models with skglm Quentin Bertrand Quentin Klopfenstein Pierre-Antoine Bannier Gauthier Gidel Mathurin Massias 22 11 0 16 Apr 2022
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
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016