Publication Search Results
Exact matches for:
- Author = Lin SB
1.
Lin SB, Wang D, Zhou DX
Shao-Bo Lin, Di Wang and Ding-Xuan Zhou:
Sketching with Spherical Designs for Noisy Data Fitting on Spheres,
SIAM Journal on Scientific Computing,
46
(2024),
no. 1,
A313–A337.
2.
Lin SB, Wang K, Wang Y, Zhou DX
Shao-Bo Lin, Kaidong Wang, Yao Wang and Ding-Xuan Zhou:
Universal Consistency of Deep Convolutional Neural Networks,
IEEE Transactions on Information Theory,
68
(2022),
no. 7,
4610–4617.
3.
Chui CK, Lin SB, Zhang B, Zhou DX
Charles K Chui, Shao-Bo Lin, Bo Zhang and Ding-Xuan Zhou:
Realization of Spatial Sparseness by Deep ReLU Nets With Massive Data,
IEEE Transactions on Neural Networks and Learning Systems,
33
(2022),
229–243.
4.
Han Z, Yu S, Lin SB, Zhou DX
Zhi Han, Siquan Yu, Shao-Bo Lin and Ding-Xuan Zhou:
Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization,
IEEE Transactions on Pattern Analysis and Machine Intelligence,
44
(2022),
1853–1868.
5.
Zeng J, Lin SB, Yao Y, Zhou DX
Jinshan Zeng, Shao-Bo Lin, Yuan Yao and Ding-Xuan Zhou:
On ADMM in deep learning: convergence and saturation-avoidance,
Journal of Machine Learning Research,
22
(2021),
1–67.
6.
Lin SB, Wang YG, Zhou DX
Shao-Bo Lin, Yu Guang Wang and Ding-Xuan Zhou:
Distributed filtered hyperinterpolation for noisy data on the sphere,
SIAM Journal on Numerical Analysis (SINUM),
59
(2021),
634–659.
7.
Lin SB, Wang D, Zhou DX
Shao-Bo Lin, Di Wang, Ding-Xuan Zhou:
Distributed Kernel Ridge Regression with Communications,
Journal of Machine Learning Research,
21
(2020),
1–38.
8.
Chui CK, Lin SB, Zhou DX
Charles K Chui, Shao-Bo Lin, Ding-Xuan Zhou:
Deep neural networks for rotation-invariance approximation and learning,
Analysis and Applications,
17
(2019),
737–772.
9.
Chui CK, Lin SB, Zhou DX
Charles K Chui, Shao-Bo Lin and Ding-Xuan Zhou:
Deep Net Tree Structure for Balance of Capacity and Approximation Ability,
Frontiers in Applied Mathematics and Statistics,
5
(2019),
no. 46,
11 pages.
10.
Lin SB, Lei Y, Zhou DX
Shao-Bo Lin, Yunwen Lei, Ding-Xuan Zhou:
Boosted Kernel Ridge Regression: Optimal Learning Rates and Early Stopping,
Journal of Machine Learning Research,
20
(2019),
1–36.
11.
Lin SB, Zhou DX
Shao-Bo Lin, Ding-Xuan Zhou:
Optimal learning rates for kernel partial least squares,
Journal of Fourier Analysis and Applications,
24
(2018),
908–933.
12.
Chui CK, Lin SB, Zhou DX
Charles K Chui, Shao-Bo Lin and Ding-Xuan Zhou:
Construction of neural networks for realization of localized deep learning,
Frontiers in Applied Mathematics and Statistics,
4
(2018),
Article 14: 11 pages.
13.
Lin SB, Zhou DX
Shao-Bo Lin, Ding-Xuan Zhou:
Distributed kernel gradient descent algorithms,
Constructive Approximation,
47
(2018),
249–276.
14.
Lin SB, Guo X, Zhou DX
Shao-Bo Lin, Xin Guo, Ding-Xuan Zhou:
Distributed learning with regularized least squares,
Journal of Machine Learning Research,
18
(2017),
no. 92,
1–31.
15.
Chang X, Lin SB, Zhou DX
Xiangyu Chang, Shao-Bo Lin, Ding-Xuan Zhou:
Distributed semi-supervised learning with kernel ridge regression,
Journal of Machine Learning Research,
18
(2017),
no. 46,
1–22.
16.
Guo ZC, Lin SB, Zhou DX
Zheng-Chu Guo, Shao-Bo Lin, Ding-Xuan Zhou:
Learning theory of distributed spectral algorithms,
Inverse Problems,
33
(2017),
074009 (29 pages).
| Number of matches: 16 |