Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2008.12236
Cited By
Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach
27 August 2020
M. Ndaoud
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Scaled minimax optimality in high-dimensional linear regression: A non-convex algorithmic regularization approach"
4 / 4 papers shown
Title
Robust and Tuning-Free Sparse Linear Regression via Square-Root Slope
Stanislav Minsker
M. Ndaoud
Lan Wang
40
8
0
30 Oct 2022
Variable selection, monotone likelihood ratio and group sparsity
C. Butucea
E. Mammen
M. Ndaoud
Alexandre B. Tsybakov
48
3
0
30 Dec 2021
De-biasing convex regularized estimators and interval estimation in linear models
Pierre C. Bellec
Cun-Hui Zhang
27
20
0
26 Dec 2019
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
Weijie Su
Emmanuel Candes
65
145
0
29 Mar 2015
1