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Asymptotic distribution and sparsistency for l1-penalized parametric
  M-estimators with applications to linear SVM and logistic regression

Asymptotic distribution and sparsistency for l1-penalized parametric M-estimators with applications to linear SVM and logistic regression

13 August 2009
Guilherme V. Rocha
Xing Wang
Bin Yu
ArXivPDFHTML

Papers citing "Asymptotic distribution and sparsistency for l1-penalized parametric M-estimators with applications to linear SVM and logistic regression"

6 / 6 papers shown
Title
Some sharp performance bounds for least squares regression with $L_1$
  regularization
Some sharp performance bounds for least squares regression with L1L_1L1​ regularization
Tong Zhang
129
268
0
20 Aug 2009
High-dimensional covariance estimation by minimizing $\ell_1$-penalized
  log-determinant divergence
High-dimensional covariance estimation by minimizing ℓ1\ell_1ℓ1​-penalized log-determinant divergence
Pradeep Ravikumar
Martin J. Wainwright
Garvesh Raskutti
Bin Yu
193
874
0
21 Nov 2008
Lasso-type recovery of sparse representations for high-dimensional data
Lasso-type recovery of sparse representations for high-dimensional data
N. Meinshausen
Bin Yu
221
879
0
01 Jun 2008
Variable selection in semiparametric regression modeling
Variable selection in semiparametric regression modeling
Runze Li
Hua Liang
76
300
0
13 Mar 2008
Fast learning rates for plug-in classifiers
Fast learning rates for plug-in classifiers
Jean-Yves Audibert
Alexandre B. Tsybakov
363
467
0
17 Aug 2007
Fast rates for support vector machines using Gaussian kernels
Fast rates for support vector machines using Gaussian kernels
Ingo Steinwart
C. Scovel
192
283
0
14 Aug 2007
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