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0808.4051
Cited By
Honest variable selection in linear and logistic regression models via
ℓ
1
\ell_1
ℓ
1
and
ℓ
1
+
ℓ
2
\ell_1+\ell_2
ℓ
1
+
ℓ
2
penalization
29 August 2008
F. Bunea
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Papers citing
"Honest variable selection in linear and logistic regression models via $\ell_1$ and $\ell_1+\ell_2$ penalization"
13 / 13 papers shown
Title
Lag selection and estimation of stable parameters for multiple autoregressive processes through convex programming
Somnath Chakraborty
Johannes Lederer
R. Sachs
29
0
0
03 Mar 2023
Classification vs regression in overparameterized regimes: Does the loss function matter?
Vidya Muthukumar
Adhyyan Narang
Vignesh Subramanian
M. Belkin
Daniel J. Hsu
A. Sahai
30
148
0
16 May 2020
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression
Jean Feng
N. Simon
14
1
0
28 Mar 2019
A modern maximum-likelihood theory for high-dimensional logistic regression
Pragya Sur
Emmanuel J. Candes
23
285
0
19 Mar 2018
Linearized Binary Regression
Andrew S. Lan
M. Chiang
Christoph Studer
21
10
0
01 Feb 2018
Dynamic Pricing in High-dimensions
Adel Javanmard
Hamid Nazerzadeh
66
136
0
24 Sep 2016
Model selection in logistic regression
Marius Kwemou
M. Taupin
A. Tocquet
16
3
0
30 Aug 2015
The Degrees of Freedom of Partly Smooth Regularizers
Samuel Vaiter
Charles-Alban Deledalle
M. Fadili
Gabriel Peyré
C. Dossal
89
49
0
22 Apr 2014
Robust Lasso with missing and grossly corrupted observations
Nam H. Nguyen
T. Tran
54
155
0
02 Dec 2011
Model Selection in Undirected Graphical Models with the Elastic Net
Mihai Cucuringu
J. Puente
David Shue
56
4
0
02 Nov 2011
SPADES and mixture models
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
Adrian Barbu
92
63
0
14 Jan 2009
High-dimensional generalized linear models and the lasso
Sara van de Geer
189
750
0
04 Apr 2008
Near-ideal model selection by
ℓ
1
\ell_1
ℓ
1
minimization
Emmanuel J. Candès
Y. Plan
121
216
0
02 Jan 2008
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