Fetching the paper…
Reading the bibliography…
We introduce and study the Group Square-Root Lasso (GSRL) method for estimation in high dimensional sparse regression models with group structure.
Nonexpansive nonlinear operators in a banach space
F. E. Browder · 1965
Earlier work this paper cites.
Weak convergence of the sequence of successive approximations for nonexpansive mappings
Z. Opial · 1967
Earlier work this paper cites.
Adaptive estimation of a quadratic functional by model selection
B. Laurent and P. Massart · 2000
Earlier work this paper cites.
A Bennett concentration inequality and its application to suprema of empirical processes
O. Bousquet · 2002
Earlier work this paper cites.
High-dimensional graphs and variable selection with the lasso
N. Meinshausen and P. Bühlmann · 2006
Earlier work this paper cites.
Model selection and estimation in regression with grouped variables
M. Yuan and Y. Lin · 2006
Earlier work this paper cites.
On model selection consistency of Lasso
P. Zhao and B. Yu · 2006
Earlier work this paper cites.
The adaptive lasso and its oracle properties
H. Zou · 2006
Earlier work this paper cites.
Pathwise coordinate optimization
J. Friedman, T. Hastie, H. Höfling, and R. Tibshirani · 2007
Earlier work this paper cites.
A robust hybrid of lasso and ridge regression
A. Owen · 2007
Earlier work this paper cites.
The deterministic Lasso
S. van de Geer · 2007
Cited alongside, same era.
Honest variable selection in linear and logistic regression models via ℓ 1 \ell_{1} and ℓ 1 + ℓ 2 \ell_{1}+\ell_{2} penalization
F. Bunea · 2008
Cited alongside, same era.
Dimension reduction and variable selection in case-control studies via regularized likelihood optimization
F. Bunea and A. Barbu · 2008
Cited alongside, same era.
Simultaneous analysis of lasso and Dantzig selector
P. Bickel, Y. Ritov, and A. Tsybakov · 2009
Cited alongside, same era.
High-dimensional additive modeling
L. Meier, S. van de Geer, and P. Buhlmann · 2009
Cited alongside, same era.
On the conditions used to prove oracle results for the Lasso
S. van de Geer and P. Bühlmann · 2009
Cited alongside, same era.
Statistics for high-dimensional data
P. Bühlmann and S. van de Geer · 2011
Later among the works it cites.
New concentration inequalities for empirical processes
J. Lederer and S. van de Geer · 2011
Later among the works it cites.
Oracle inequalities and optimal inference under group sparsity
K. Lounici, M. Pontil, A. B. Tsybakov, and S. van de Geer · 2011
Later among the works it cites.
Estimation for high-dimensional linear mixed-effects models using ℓ 1 \ell_{1} -penalization
J. Schelldorfer, P. Bühlmann, and S. van de Geer · 2011
Later among the works it cites.
The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso)
S. van de Geer, P. Bühlmann, and S. Zhou · 2011
Later among the works it cites.
An iterative algorithm for fitting nonconvex penalized generalized linear models with grouped predictors
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Sparsity in multiple kernel learning
V. Koltchinskii and M. Yuan · 2010
Cited alongside, same era.
Sparse regression with exact clustering
Y. She · 2010
Cited alongside, same era.
Consistent group selection in high-dimensional linear regression
F. Wei and J. Huang · 2010
Cited alongside, same era.
Square-root lasso: pivotal recovery of sparse signals via conic programming
A. Belloni, V. Chernozhukov, and L. Wang · 2011
Cited alongside, same era.
Pivotal estimation of nonparametric functions via square-root lasso
A. Belloni, V. Chernozhukov, and L. Wang
Cited in the paper.
Y. She · 2012
Later among the works it cites.
Scaled sparse linear regression
T. Sun and C. Zhang · 2012
Later among the works it cites.
The Bernstein-Orlicz norm and deviation inequalities
S. van de Geer and J. Lederer · 2012
Later among the works it cites.
How correlations influence Lasso prediction
M. Hebiri and J. Lederer · 2013
Closest in time.
The Lasso, correlated design, and improved oracle inequalities
S. van de Geer and J. Lederer · 2013
Closest in time.