BriefGPT.xyz
Jul, 2017
突破不光滑障碍: 复合优化可扩展并行方法
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
HTML
PDF
Fabian Pedregosa, Rémi Leblond, Simon Lacoste-Julien
TL;DR
本研究提出了一种基于 ProxASAGA 算法的并行异步稀疏方法,用于解决多核架构下大规模优化问题中的非光滑目标,并在实验中取得了多项实际加速。
Abstract
Due to their simplicity and excellent performance,
parallel asynchronous variants
of
stochastic gradient descent
have become popular methods to solve a wide range of
→