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An efficient particle swarm optimization with evolutionary multitasking for stochastic area coverage of heterogeneous sensors 期刊论文
INFORMATION SCIENCES, 2023, 卷号: 645, 页码: 22
作者:  Ding, Shuxin;  Zhang, Tao;  Chen, Chen;  Lv, Yisheng;  Xin, Bin;  Yuan, Zhiming;  Wang, Rongsheng;  Pardalos, Panos M.
收藏  |  浏览/下载：92/0  |  提交时间：2023/11/17
Wireless sensor networks  Stochastic area coverage  Conditional value-at-risk  Co-evolutionary particle swarm optimization  Adaptive perturbation  Evolutionary multitasking  
Distributed Momentum-Based Frank-Wolfe Algorithm for Stochastic Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 685-699
作者:  Jie Hou;  Xianlin Zeng;  Gang Wang;  Jian Sun;  Jie Chen
Adobe PDF(2289Kb)  |  收藏  |  浏览/下载：139/48  |  提交时间：2023/03/02
Distributed optimization  Frank-Wolfe (FW) algorithms  momentum-based method  stochastic optimization  
Towards Better Generalization of Deep Neural Networks via Non-Typicality Sampling Scheme 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 11
作者:  Peng, Xinyu;  Wang, Fei-Yue;  Li, Li
收藏  |  浏览/下载：159/0  |  提交时间：2022/06/06
Training  Estimation  Deep learning  Standards  Optimization  Noise measurement  Convergence  Deep learning  generalization performance  nontypicality sampling scheme  stochastic gradient descent (SGD)  
A Primal-Dual SGD Algorithm for Distributed Nonconvex Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 812-833
作者:  Xinlei Yi;  Shengjun Zhang;  Tao Yang;  Tianyou Chai;  Karl Henrik Johansson
Adobe PDF(2533Kb)  |  收藏  |  浏览/下载：175/49  |  提交时间：2022/04/24
Distributed nonconvex optimization  linear speedup  Polyak-Łojasiewicz (P-Ł) condition  primal-dual algorithm  stochastic gradient descent  
Drill the Cork of Information Bottleneck by Inputting the Most Important Data 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Peng, Xinyu;  Zhang, Jiawei;  Wang, Fei-Yue;  Li, Li
收藏  |  浏览/下载：181/0  |  提交时间：2022/01/27
Training  Signal to noise ratio  Mutual information  Optimization  Convergence  Deep learning  Tools  Information bottleneck (IB) theory  machine learning  minibatch stochastic gradient descent (SGD)  typicality sampling  
Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 4649-4659
作者:  Peng, Xinyu;  Li, Li;  Wang, Fei-Yue
收藏  |  浏览/下载：216/0  |  提交时间：2021/01/06
Training  Convergence  Approximation algorithms  Stochastic processes  Estimation  Optimization  Acceleration  Batch selection  machine learning  minibatch stochastic gradient descent (SGD)  speed of convergence  
Stochastic Learning via Optimizing the Variational Inequalities 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 期号: 10;10, 页码: 1769-1778
作者:  Tao, Qing;  Gao, Qian-Kun;  Chu, De-Jun;  Wu, Gao-Wei
收藏  |  浏览/下载：29/0  |  提交时间：2020/10/27
Alternating Direction Method Of Multiplier (Admm)  Machine Learning  Online Learning  Optimization  Regret  Stochastic Learning  Variational Inequality (Vi)  
Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence 期刊论文
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：190/0  |  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  
Optimizing the Revenue for Ad Exchanges in Header Bidding Advertising Markets 会议论文
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, Banff, Canada, Oct. 5-8, 2017
作者:  Qin, Rui;  Yuan, Yong;  Wang, Fei-Yue
浏览  |  Adobe PDF(222Kb)  |  收藏  |  浏览/下载：378/136  |  提交时间：2017/12/29
Header Bidding  Real Time Bidding  Ad Exchange  Stochastic Optimization Model  Risk Level  
Minimum entropy control of closed-loop tracking errors for dynamic stochastic systems 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2003, 卷号: 48, 期号: 1, 页码: 118-122
作者:  Yue, H;  Wang, H
收藏  |  浏览/下载：95/0  |  提交时间：2015/11/08
Entropy  Non-gaussian  Nonlinear  Optimization  Stochastic