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Kernel-based L_2-Boosting with Structure Constraints


Sep 16, 2020
Yao Wang, Xin Guo, Shao-Bo Lin

* 33pages, 8figures 

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Kernel Interpolation of High Dimensional Scattered Data


Sep 03, 2020
Shao-Bo Lin, Xiangyu Chang, Xingping Sun

* 23 pages, 4 figures 

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Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization


Apr 01, 2020
Zhi Han, Siquan Yu, Shao-Bo Lin, Ding-Xuan Zhou

* 19 pages 

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Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping


Apr 01, 2020
Jinshan Zeng, Min Zhang, Shao-Bo Lin

* 14 pages 

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Distributed Kernel Ridge Regression with Communications


Mar 27, 2020
Shao-Bo Lin, Di Wang, Ding-Xuan Zhou

* 38pages 

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Distributed Learning with Dependent Samples


Feb 10, 2020
Shao-Bo Lin

* 12 pages, 2 figures 

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Adaptive Stopping Rule for Kernel-based Gradient Descent Algorithms


Jan 09, 2020
Xiangyu Chang, Shao-Bo Lin

* 32 pages, 2 figures 

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Realization of spatial sparseness by deep ReLU nets with massive data


Dec 16, 2019
Charles K. Chui, Shao-Bo Lin, Bo Zhang, Ding-Xuan Zhou

* 15pages, 4 figures 

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Fast Polynomial Kernel Classification for Massive Data


Dec 06, 2019
Jinshan Zeng, Minrun Wu, Shao-Bo Lin, Ding-Xuan Zhou

* arXiv admin note: text overlap with arXiv:1402.4735 by other authors 

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Distributed filtered hyperinterpolation for noisy data on the sphere


Oct 06, 2019
Shao-Bo Lin, Yu Guang Wang, Ding-Xuan Zhou

* 26 pages, 4 figures 

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Deep Neural Networks for Rotation-Invariance Approximation and Learning


Apr 03, 2019
Charles K. Chui, Shao-Bo Lin, Ding-Xuan Zhou

* 34 pages, 1 figure 

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A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning


Feb 06, 2019
Jinshan Zeng, Shao-Bo Lin, Yuan Yao


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Realizing data features by deep nets


Jan 01, 2019
Zheng-Chu Guo, Lei Shi, Shao-Bo Lin

* 12 pages, 2 figures 

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Generalization and Expressivity for Deep Nets


Mar 23, 2018
Shao-Bo Lin


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Construction of neural networks for realization of localized deep learning


Mar 09, 2018
Charles K. Chui, Shao-Bo Lin, Ding-Xuan Zhou

* 22pages 

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Learning rates for classification with Gaussian kernels


Oct 05, 2017
Shao-Bo Lin, Jinshan Zeng, Xiangyu Chang

* This paper has been accepted by Neural Computation 

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Distributed learning with regularized least squares


Mar 11, 2017
Shao-Bo Lin, Xin Guo, Ding-Xuan Zhou

* 28 pages 

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