Rui Wang

collaborators

2 papers

math.NA2026

Sparsity-Guided Multi-Parameter Selection in $ℓ_{1}$ -Regularized Models via a Fixed-Point Proximity Approach

Qianru Liu, Rui Wang, Yuesheng Xu

We study a regularization framework that combines a convex fidelity term with multiple $ℓ_{1}$ -based regularizers, each linked to a distinct linear transform. This multi-penalty m…

stat.ML2025

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…

Sparsity-Guided Multi-Parameter Selection in ℓ1​-Regularized Models via a Fixed-Point Proximity Approach

Hypothesis Spaces for Deep Learning

Sparsity-Guided Multi-Parameter Selection in $ℓ_{1}$ -Regularized Models via a Fixed-Point Proximity Approach