An Accelerated Linearly Convergent Stochastic L-BFGS Algorithm

著录项

• 来源
  《Neural Networks and Learning Systems, IEEE Transactions on》 |2019年第11期|3338-3346|共9页
• 作者

  Chang Daqing; Sun Shiliang; Zhang Changshui;

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• 作者单位

  Tsinghua Univ Inst Artificial Intelligence Beijing 100084 Peoples R China|Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol Dept Automat State Key Lab Intelligent Technol & Syst Beijing 100084 Peoples R China;

  East China Normal Univ Dept Comp Sci & Technol Shanghai 200062 Peoples R China;

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• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  Convergence; Acceleration; Machine learning algorithms; Machine learning; Optimization; Neural networks; Learning systems; Limited memory version of Broyden-Fletcher-Goldfarb-Shanno (L-BFGS); machine learning; Nesterov's acceleration; optimization method; variance reduction;

  机译：收敛;加速;机器学习算法;机器学习;优化;神经网络;学习系统;Broyden-Fletcher-Goldfarb-Shanno（L-BFGS）的受限内存版本;机器学习内斯特罗夫的加速;优化方法;方差减少;