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Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization 期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2022, 页码: 42
Authors:  Gao, Juan;  Liu, Xin-Wei;  Dai, Yu-Hong;  Huang, Yakui;  Gu, Junhua
Favorite  |  View/Download:134/0  |  Submit date:2023/02/07
Distributed non-convex optimization  Machine learning  Momentum methods  Optimization algorithms  Convergence rate  
A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai-Borwein Stepsizes 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4627-4638
Authors:  Yu, Tengteng;  Liu, Xin-Wei;  Dai, Yu-Hong;  Sun, Jie
Favorite  |  View/Download:151/0  |  Submit date:2022/04/02
Convergence  Convex functions  Risk management  Gradient methods  Learning systems  Sun  Barzilai-Borwein (BB) method  empirical risk minimization (ERM)  proximal method  stochastic gradient  trust-region  
Stochastic Variance Reduced Gradient Methods Using a Trust-Region-Like Scheme 期刊论文
JOURNAL OF SCIENTIFIC COMPUTING, 2021, 卷号: 87, 期号: 1, 页码: 24
Authors:  Yu, Tengteng;  Liu, Xin-Wei;  Dai, Yu-Hong;  Sun, Jie
Favorite  |  View/Download:187/0  |  Submit date:2021/04/26
Stochastic variance reduced gradient  Trust region  Barzilai-Borwein stepsizes  Mini-batches  Empirical risk minimization  90C06  90C30  90C90  90C25  
Inexact proximal stochastic gradient method for convex composite optimization 期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2017, 卷号: 68, 期号: 3, 页码: 579-618
Authors:  Wang, Xiao;  Wang, Shuxiong;  Zhang, Hongchao
Favorite  |  View/Download:167/0  |  Submit date:2018/07/30
Convex composite optimization  Empirical risk minimization  Stochastic gradient  Inexact methods  Global convergence  Complexity bound