中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共4条，第1-4条

帮助

条数/页：排序方式：
	STOCHASTIC TRUST-REGION METHODS WITH TRUST-REGION RADIUS DEPENDING ON PROBABILISTIC MODELS 期刊论文 OAI收割 JOURNAL OF COMPUTATIONAL MATHEMATICS, 2021, 页码: 41 作者: Wang, Xiaoyu; Yuan, Ya-xiang \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2022/04/02 Trust-region methods Stochastic optimization Probabilistic models Trust region radius Global convergence
	Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms 期刊论文 OAI收割 IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 1702-1712 作者: Cheng, Daning; Li, Shigang; Zhang, Hanping; Xia, Fen; Zhang, Yunquan \| 收藏 \| 浏览/下载：51/0 \| 提交时间：2021/12/01 Training Scalability Machine learning Machine learning algorithms Stochastic processes Task analysis Upper bound Parallel training algorithms training dataset scalability stochastic optimization methods
	Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence 期刊论文 OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 835-845 作者: Tao, Wei; Pan, Zhisong; Wu, Gaowei; Tao, Qing \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2020/03/30 Convergence Convex functions Machine learning Optimization methods Linear programming Cybernetics Individual convergence machine learning mirror descent (MD) methods regularized learning problems stochastic gradient descent (SGD) stochastic optimization
	Inexact proximal stochastic gradient method for convex composite optimization 期刊论文 OAI收割 COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2017, 卷号: 68, 期号: 3, 页码: 579-618 作者: Wang, Xiao; Wang, Shuxiong; Zhang, Hongchao \| 收藏 \| 浏览/下载：41/0 \| 提交时间：2018/07/30 Convex composite optimization Empirical risk minimization Stochastic gradient Inexact methods Global convergence Complexity bound