6 papers
ADMM-based Bilevel Descent Aggregation Algorithm for Sparse Hyperparameter Selection
Yunhai Xiao, Anqi Liu, Peili Li +1
It is widely acknowledged that hyperparameter selection plays a critical role in the effectiveness of sparse optimization problems. The bilevel optimization provides a robust frame…
A Primal Dual Active Set with Continuation Algorithm for -Penalized High-dimensional Accelerated Failure Time Model
Peili Li, Ruoying Hu, Yanyun Ding +1
The accelerated failure time model has garnered attention due to its intuitive linear regression interpretation and has been successfully applied in fields such as biostatistics, c…
Iterative Reweighted Framework Based Algorithms for Sparse Linear Regression with Generalized Elastic Net Penalty
Yanyun Ding, Zhenghua Yao, Peili Li +1
The elastic net penalty is frequently employed in high-dimensional statistics for parameter regression and variable selection. It is particularly beneficial compared to lasso when…
Efficient Dual ADMMs for Sparse Compressive Sensing MRI Reconstruction
Yanyun Ding, Peili Li, Yunhai Xiao +1
Magnetic Resonance Imaging (MRI) is a kind of medical imaging technology used for diagnostic imaging of diseases, but its image quality may be suffered by the long acquisition time…
An Efficient Semismooth Newton Method for Adaptive Sparse Signal Recovery Problems
Yanyun Ding, Haibin Zhang, Peili Li +1
We know that compressive sensing can establish stable sparse recovery results from highly undersampled data under a restricted isometry property condition. In reality, however, num…
Symmetric Gauss-Seidel Technique Based Alternating Direction Methods of Multipliers for Transform Invariant Low-Rank Textures Problem
Yanyun Ding, Yunhai Xiao
Transform Invariant Low-Rank Textures, referred to as TILT, can accurately and robustly extract textural or geometric information in a 3D from user-specified windows in 2D in spite…