Mingsong Yan

activity

20222026

most citedParameter Choices for Sparse Regularization with the

ℓ_{1}

Norm

7 citations · 10 across the 8 of their papers we have counts for

collaborators

Showing 2024Show all

3 papers · 1 filter

cs.LG2024

Sparse Deep Learning Models with the $ℓ_{1}$ Regularization

Lixin Shen, Rui Wang, Yuesheng Xu +1

Sparse neural networks are highly desirable in deep learning in reducing its complexity. The goal of this paper is to study how choices of regularization parameters influence the s…

math.OC2024

Inexact FPPA for the $ℓ_{0}$ Sparse Regularization Problem

Ronglong Fang, Yuesheng Xu, Mingsong Yan

We study inexact fixed-point proximity algorithms for solving a class of sparse regularization problems involving the $ℓ_{0}$ norm. Specifically, the $ℓ_{0}$ model has an objecti…

stat.ML2024

Hypothesis Spaces for Deep Learning

Rui Wang, Yuesheng Xu, Mingsong Yan

This paper introduces a hypothesis space for deep learning based on deep neural networks (DNNs). By treating a DNN as a function of two variables - the input variable and the param…

Sparse Deep Learning Models with the ℓ1​ Regularization

Inexact FPPA for the ℓ0​ Sparse Regularization Problem

Hypothesis Spaces for Deep Learning

Sparse Deep Learning Models with the $ℓ_{1}$ Regularization

Inexact FPPA for the $ℓ_{0}$ Sparse Regularization Problem