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The Smooth-Lasso and other $\ell_1+\ell_2$-penalized methods
v1v2 (latest)

The Smooth-Lasso and other ℓ1+ℓ2\ell_1+\ell_2ℓ1​+ℓ2​-penalized methods

25 March 2010
Mohamed Hebiri
Sara van de Geer
ArXiv (abs)PDFHTML

Papers citing "The Smooth-Lasso and other $\ell_1+\ell_2$-penalized methods"

3 / 3 papers shown
yaglm: a Python package for fitting and tuning generalized linear models
  that supports structured, adaptive and non-convex penalties
yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties
Iain Carmichael
T. Keefe
Naomi Giertych
Jonathan P. Williams
205
2
0
11 Oct 2021
Innovated interaction screening for high-dimensional nonlinear
  classification
Innovated interaction screening for high-dimensional nonlinear classification
Yingying Fan
Yinfei Kong
Daoji Li
Zemin Zheng
431
41
0
05 Jan 2015
The adaptive Gril estimator with a diverging number of parameters
The adaptive Gril estimator with a diverging number of parameters
M. E. Anbari
A. Mkhadri
145
8
0
26 Feb 2013
1
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