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Regularized M-estimators with nonconvexity: Statistical and algorithmic
  theory for local optima

Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima

10 May 2013
Po-Ling Loh
Martin J. Wainwright
ArXivPDFHTML

Papers citing "Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima"

15 / 15 papers shown
Title
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties
Learning Multi-Attribute Differential Graphs with Non-Convex Penalties
Jitendra K Tugnait
678
0
0
14 May 2025
Optimal computational and statistical rates of convergence for sparse
  nonconvex learning problems
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems
Zhaoran Wang
Han Liu
Tong Zhang
85
175
0
20 Jun 2013
Structure estimation for discrete graphical models: Generalized
  covariance matrices and their inverses
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses
Po-Ling Loh
Martin J. Wainwright
64
180
0
03 Dec 2012
Strong oracle optimality of folded concave penalized estimation
Strong oracle optimality of folded concave penalized estimation
Jianqing Fan
Lingzhou Xue
H. Zou
499
307
0
22 Oct 2012
High-dimensional regression with noisy and missing data: Provable
  guarantees with nonconvexity
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity
Po-Ling Loh
Martin J. Wainwright
97
560
0
16 Sep 2011
A General Theory of Concave Regularization for High Dimensional Sparse
  Estimation Problems
A General Theory of Concave Regularization for High Dimensional Sparse Estimation Problems
Cun-Hui Zhang
Tong Zhang
127
340
0
25 Aug 2011
Fast global convergence of gradient methods for high-dimensional
  statistical recovery
Fast global convergence of gradient methods for high-dimensional statistical recovery
Alekh Agarwal
S. Negahban
Martin J. Wainwright
89
242
0
25 Apr 2011
A Unified Framework for High-Dimensional Analysis of M-Estimators with
  Decomposable Regularizers
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers
S. Negahban
Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
280
1,377
0
13 Oct 2010
Nearly unbiased variable selection under minimax concave penalty
Nearly unbiased variable selection under minimax concave penalty
Cun-Hui Zhang
273
3,543
0
25 Feb 2010
Minimax rates of estimation for high-dimensional linear regression over
  $\ell_q$-balls
Minimax rates of estimation for high-dimensional linear regression over ℓq\ell_qℓq​-balls
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
161
575
0
11 Oct 2009
Sparse recovery under matrix uncertainty
Sparse recovery under matrix uncertainty
M. Rosenbaum
Alexandre B. Tsybakov
114
167
0
15 Dec 2008
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
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood
  models
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models
H. Zou
Runze Li
202
1,234
0
07 Aug 2008
Sparse permutation invariant covariance estimation
Sparse permutation invariant covariance estimation
Adam J. Rothman
Peter J. Bickel
Elizaveta Levina
Ji Zhu
477
907
0
31 Jan 2008
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
325
2,527
0
07 Jan 2008
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