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	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
	Broad Learning System Based on Maximum Correntropy Criterion 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3083-3097 作者: Zheng, Yunfei; Chen, Badong; Wang, Shiyuan; Wang, Weiqun 收藏 \| 浏览/下载：69/0 \| 提交时间：2021/08/15 Learning systems Robustness Standards Optimization Training Perturbation methods Mean square error methods Broad learning system (BLS) incremental learning algorithms maximum correntropy criterion (MCC) regression and classification
	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：17/0 \| 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
	Stability-Based Generalization Analysis of Distributed Learning Algorithms for Big Data 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 801-812 作者: Wu, Xinxing; Zhang, Junping; Wang, Fei-Yue 收藏 \| 浏览/下载：16/0 \| 提交时间：2020/06/02 Big data distributed learning algorithms distributed simulations generalization
	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：14/0 \| 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
	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：62/0 \| 提交时间：2019/07/11 Computational efficiency covariance reduction empirical risk minimization (ERM) linear convergence stochastic conjugate gradient (CG)
	Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 3, 页码: 788-802 作者: Peng, Hanyang; Liu, Cheng-Lin 收藏 \| 浏览/下载：39/0 \| 提交时间：2019/07/12 Accelerated proximal gradient (APG) extended hinge loss (HL) feature selection sparsity regularization
	A Regularized Variable Projection Algorithm for Separable Nonlinear Least-Squares Problems 期刊论文 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 卷号: 64, 期号: 2, 页码: 526-537 作者: Chen, Guang-Yong; Gan, Min; Chen, C. L. Philip; Li, Han-Xiong 收藏 \| 浏览/下载：47/0 \| 提交时间：2019/07/12 Data fitting regularization separable nonlinear least squares (SNLLS) variable projection (VP) weighted generalized cross validation (WGCV)
	Learning With Coefficient-Based Regularized Regression on Markov Resampling 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 9, 页码: 4166-4176 作者: Li, Luoqing; Li, Weifu; Zou, Bin; Wang, Yulong; Tang, Yuan Yan 收藏 \| 浏览/下载：28/0 \| 提交时间：2018/10/10 Coefficient-based Regularized Regression (Cbrr) Learning Rate Markov Resampling Uniformly Ergodic Markov Chain (U.e.m.c.)
	Regularized Label Relaxation Linear Regression 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1006-1018 作者: Fang, Xiaozhao; Xu, Yong; Li, Xuelong; Lai, Zhihui; Wong, Wai Keung 收藏 \| 浏览/下载：27/0 \| 提交时间：2018/04/11 Class Compactness Graph Computer Vision Label Relaxation Linear Regression (Lr) Manifold Learning

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