Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Kernel-based L_2-Boosting with Structure Constraints

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

* 33pages, 8figures 

  Access Paper or Ask Questions

Kernel Interpolation of High Dimensional Scattered Data

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

* 23 pages, 4 figures 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Distributed Kernel Ridge Regression with Communications

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

* 38pages 

  Access Paper or Ask Questions

Distributed Learning with Dependent Samples

Feb 10, 2020
Shao-Bo Lin

* 12 pages, 2 figures 

  Access Paper or Ask Questions

Adaptive Stopping Rule for Kernel-based Gradient Descent Algorithms

Jan 09, 2020
Xiangyu Chang, Shao-Bo Lin

* 32 pages, 2 figures 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

A Convergence Analysis of Nonlinearly Constrained ADMM in Deep Learning

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


  Access Paper or Ask Questions

Realizing data features by deep nets

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

* 12 pages, 2 figures 

  Access Paper or Ask Questions

Generalization and Expressivity for Deep Nets

Mar 23, 2018
Shao-Bo Lin


  Access Paper or Ask Questions

Construction of neural networks for realization of localized deep learning

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

* 22pages 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Distributed learning with regularized least squares

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

* 28 pages 

  Access Paper or Ask Questions