ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 0804.0703
  4. Cited By
High-dimensional generalized linear models and the lasso

High-dimensional generalized linear models and the lasso

4 April 2008
Sara van de Geer
ArXivPDFHTML

Papers citing "High-dimensional generalized linear models and the lasso"

15 / 65 papers shown
Title
Adaptive Dantzig density estimation
Adaptive Dantzig density estimation
Karine Bertin
E. L. Pennec
Vincent Rivoirard
106
45
0
06 May 2009
SCAD-penalized regression in high-dimensional partially linear models
SCAD-penalized regression in high-dimensional partially linear models
Huiliang Xie
Jian Huang
70
200
0
31 Mar 2009
Sure independence screening in generalized linear models with
  NP-dimensionality
Sure independence screening in generalized linear models with NP-dimensionality
Jianqing Fan
Rui Song
62
633
0
30 Mar 2009
Sparse Regression Learning by Aggregation and Langevin Monte-Carlo
Sparse Regression Learning by Aggregation and Langevin Monte-Carlo
A. Dalalyan
Alexandre B. Tsybakov
99
178
0
06 Mar 2009
SPADES and mixture models
SPADES and mixture models
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
Adrian Barbu
90
63
0
14 Jan 2009
Sparse recovery under matrix uncertainty
Sparse recovery under matrix uncertainty
M. Rosenbaum
Alexandre B. Tsybakov
82
166
0
15 Dec 2008
P-values for high-dimensional regression
P-values for high-dimensional regression
N. Meinshausen
L. Meier
Peter Buhlmann
61
439
0
13 Nov 2008
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
F. Bunea
70
145
0
29 Aug 2008
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood
  models
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models
H. Zou
Runze Li
92
1,225
0
07 Aug 2008
Discussion: One-step sparse estimates in nonconcave penalized likelihood
  models: Who cares if it is a white cat or a black Cat?
Discussion: One-step sparse estimates in nonconcave penalized likelihood models: Who cares if it is a white cat or a black Cat?
X. Meng
91
6
0
07 Aug 2008
The sparsity and bias of the Lasso selection in high-dimensional linear
  regression
The sparsity and bias of the Lasso selection in high-dimensional linear regression
Cun-Hui Zhang
Jian Huang
113
866
0
07 Aug 2008
Elastic-Net Regularization in Learning Theory
Elastic-Net Regularization in Learning Theory
C. D. Mol
E. De Vito
Lorenzo Rosasco
OOD
CML
110
305
0
22 Jul 2008
High-dimensional additive modeling
High-dimensional additive modeling
L. Meier
Sara van de Geer
Peter Buhlmann
177
482
0
25 Jun 2008
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and
  sparsity
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity
A. Dalalyan
Alexandre B. Tsybakov
97
176
0
19 Mar 2008
Sparsity oracle inequalities for the Lasso
Sparsity oracle inequalities for the Lasso
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
95
469
0
23 May 2007
Previous
12