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	A novel short-term load forecasting method based on mini-batch stochastic gradient descent regression model 期刊论文 Electric Power Systems Research, 2022, 卷号: 211 作者: Lizhen, Wu; Yifan, Zhao; Gang, Wang; Xiaohong, Hao 收藏 \| 浏览/下载：21/0 \| 提交时间：2022/07/20 Batch data processing Big data Electric power plant loads Forecasting Gradient methods K-means clustering Regression analysis Stochastic models Big data analyze Distributed parallel computing Load forecasting Map-reduce Map-reduce framework Mini-batch stochastic gradient descent Regression modelling Short term load forecasting Stochastic gradient descent Stochastic gradient descent algorithm
	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：12/0 \| 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 收藏 \| 浏览/下载：40/0 \| 提交时间：2022/04/24 Distributed nonconvex optimization linear speedup Polyak-Łojasiewicz (P-Ł) condition primal-dual algorithm stochastic gradient descent
	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 作者: Yu, Tengteng; Liu, Xin-Wei; Dai, Yu-Hong; Sun, Jie 收藏 \| 浏览/下载：2/0 \| 提交时间：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
	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：16/0 \| 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
	A proportional-integral-derivative-incorporated stochastic gradient descent-based latent factor analysis model 期刊论文 NEUROCOMPUTING, 2021, 卷号: 427, 页码: 29-39 作者: Li, Jinli; Yuan, Ye; Ruan, Tao; Chen, Jia; Luo, Xin 收藏 \| 浏览/下载：23/0 \| 提交时间：2021/03/17 Big data Stochastic gradient descent Proportional integral derivation PID controller High-dimensional and sparse matrix Latent factor analysis
	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 作者: Yu, Tengteng; Liu, Xin-Wei; Dai, Yu-Hong; Sun, Jie 收藏 \| 浏览/下载：14/0 \| 提交时间：2021/04/26 Stochastic variance reduced gradient Trust region Barzilai-Borwein stepsizes Mini-batches Empirical risk minimization 90C06 90C30 90C90 90C25
	Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者: Luo, Xin; Qin, Wen; Dong, Ani; Sedraoui, Khaled; Zhou, MengChu 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/03/17 Big data industrial application industrial data latent factor analysis machine learning parallel algorithm recommender system (RS) stochastic gradient descent (SGD)
	Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者: Xin Luo; Wen Qin; Ani Dong; Khaled Sedraoui; MengChu Zhou 收藏 \| 浏览/下载：27/0 \| 提交时间：2021/04/09 Big data industrial application industrial data latent factor analysis machine learning parallel algorithm recommender system (RS) stochastic gradient descent (SGD)
	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：14/0 \| 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

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