Consistent Sparse Deep Learning: Theory and Computation-Reference-Cited by-同舟云学术

Consistent Sparse Deep Learning: Theory and Computation

Published:2021-04-20 Issue: Volume: Page:1-15
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Sun Yan¹,Song Qifan¹,Liang Faming¹

Affiliation:

1. Department of Statistics, Purdue University, West Lafayette, IN

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2021.1895175

Reference66 articles.

1. Optimal Approximation with Sparsely Connected Deep Neural Networks

2. Chaudhari, P., Choromanska, A., Soatto, S., LeCun, Y., Baldassi, C., Borgs, C., Chayes, J., Sagun, L., and Zecchina, R. (2016), “Entropy-SGD: Biasing Gradient Descent Into Wide Valleys,” arXiv no. 1611.01838.

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