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Honest variable selection in linear and logistic regression models via
  $\ell_1$ and $\ell_1+\ell_2$ penalization

Honest variable selection in linear and logistic regression models via ℓ1\ell_1ℓ1​ and ℓ1+ℓ2\ell_1+\ell_2ℓ1​+ℓ2​ 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
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?
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
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
A modern maximum-likelihood theory for high-dimensional logistic regression
Pragya Sur
Emmanuel J. Candes
23
285
0
19 Mar 2018
Linearized Binary Regression
Linearized Binary Regression
Andrew S. Lan
M. Chiang
Christoph Studer
21
10
0
01 Feb 2018
Dynamic Pricing in High-dimensions
Dynamic Pricing in High-dimensions
Adel Javanmard
Hamid Nazerzadeh
66
136
0
24 Sep 2016
Model selection in logistic regression
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
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
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
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
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
High-dimensional generalized linear models and the lasso
Sara van de Geer
189
750
0
04 Apr 2008
Near-ideal model selection by $\ell_1$ minimization
Near-ideal model selection by ℓ1\ell_1ℓ1​ minimization
Emmanuel J. Candès
Y. Plan
121
216
0
02 Jan 2008
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