68 citations · 78 across the 4 of their papers we have counts for
4 papers
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization
Gen Li, Ganghua Wang, Jie Ding
LASSO regularization is a popular regression tool to enhance the prediction accuracy of statistical models by performing variable selection through the penalty, initially…
The Efficacy of Regularization in Two-Layer Neural Networks
Gen Li, Yuantao Gu, Jie Ding
A crucial problem in neural networks is to select the most appropriate number of hidden neurons and obtain tight statistical risk bounds. In this work, we present a new perspective…
Performance of Orthogonal Matching Pursuit for Multiple Measurement Vectors
Jie Ding, Laming Chen, Yuantao Gu
In this paper, we consider orthogonal matching pursuit (OMP) algorithm for multiple measurement vectors (MMV) problem. The robustness of OMPMMV is studied under general perturbatio…
Perturbation Analysis of Orthogonal Matching Pursuit
Jie Ding, Laming Chen, Yuantao Gu
Orthogonal Matching Pursuit (OMP) is a canonical greedy pursuit algorithm for sparse approximation. Previous studies of OMP have mainly considered the exact recovery of a sparse si…