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Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1107-1118
作者:  Tao, Wei;  Wu, Gao-Wei;  Tao, Qing
收藏  |  浏览/下载：186/0  |  提交时间：2022/06/10
Heavy-ball (HB) methods  individual convergence  machine learning  momentum methods  nonsmooth optimization  sparsity  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 32, 期号: 0, 页码: 0
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：296/43  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 7, 页码: 2557-2568
作者:  Tao, Wei;  Pan, Zhisong;  Wu, Gaowei;  Tao, Qing
收藏  |  浏览/下载：225/0  |  提交时间：2020/08/03
Convergence  Extrapolation  Optimization  Acceleration  Machine learning  Task analysis  Machine learning algorithms  Individual convergence  machine learning  Nesterov's extrapolation  nonsmooth optimization  sparsity  
Stochastic Conjugate Gradient Algorithm With Variance Reduction 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 5, 页码: 1360-1369
作者:  Jin, Xiao-Bo;  Zhang, Xu-Yao;  Huang, Kaizhu;  Geng, Guang-Gang
收藏  |  浏览/下载：278/0  |  提交时间：2019/07/11
Computational efficiency  covariance reduction  empirical risk minimization (ERM)  linear convergence  stochastic conjugate gradient (CG)