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Approximate separability of symmetrically penalized least squares in high dimensions: characterization and consequences

Approximate separability of symmetrically penalized least squares in high dimensions: characterization and consequences

Michael Celentano
ArXiv (abs)PDFHTML

Papers citing "Approximate separability of symmetrically penalized least squares in high dimensions: characterization and consequences"

4 / 4 papers shown
Title
Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm
Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm
Kan Chen
Zhiqi Bu
Shiyun Xu
22
1
0
02 Jul 2021
The Lasso with general Gaussian designs with applications to hypothesis testing
The Lasso with general Gaussian designs with applications to hypothesis testing
Michael Celentano
Andrea Montanari
Yuting Wei
129
64
0
27 Jul 2020
Does SLOPE outperform bridge regression?
Does SLOPE outperform bridge regression?
Shuaiwen Wang
Haolei Weng
A. Maleki
89
20
0
20 Sep 2019
SLOPE for Sparse Linear Regression:Asymptotics and Optimal Regularization
SLOPE for Sparse Linear Regression:Asymptotics and Optimal Regularization
Hong Hu
Yue M. Lu
64
2
0
27 Mar 2019