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Weakly decomposable regularization penalties and structured sparsity
v1v2 (latest)

Weakly decomposable regularization penalties and structured sparsity

21 April 2012
Sara van de Geer
ArXiv (abs)PDFHTML

Papers citing "Weakly decomposable regularization penalties and structured sparsity"

22 / 22 papers shown
Hierarchical Bayesian Inverse Problems: A High-Dimensional Statistics
  Viewpoint
Hierarchical Bayesian Inverse Problems: A High-Dimensional Statistics Viewpoint
D. Sanz-Alonso
Nathan Waniorek
223
2
0
05 Jan 2024
Optimal Sparse Estimation of High Dimensional Heavy-tailed Time Series
Optimal Sparse Estimation of High Dimensional Heavy-tailed Time Series
Sagnik Halder
George Michailidis
AI4TS
274
0
0
19 Sep 2022
Sparse principal component analysis for high-dimensional stationary time
  series
Sparse principal component analysis for high-dimensional stationary time seriesScandinavian Journal of Statistics (Scand. J. Stat.), 2021
Kou Fujimori
Yuichi Goto
Wenshu Fan
M. Taniguchi
326
4
0
01 Sep 2021
Generalized Linear Models with Structured Sparsity Estimators
Generalized Linear Models with Structured Sparsity EstimatorsJournal of Econometrics (JE), 2021
Mehmet Caner
215
3
0
29 Apr 2021
First order expansion of convex regularized estimators
First order expansion of convex regularized estimatorsNeural Information Processing Systems (NeurIPS), 2019
Pierre C. Bellec
Arun K. Kuchibhotla
322
3
0
12 Oct 2019
Asymptotic linear expansion of regularized M-estimators
Asymptotic linear expansion of regularized M-estimatorsAnnals of the Institute of Statistical Mathematics (AISM), 2019
Tino Werner
169
1
0
02 Sep 2019
Lasso in infinite dimension: application to variable selection in
  functional multivariate linear regression
Lasso in infinite dimension: application to variable selection in functional multivariate linear regression
A. Roche
478
2
0
29 Mar 2019
A sparse semismooth Newton based proximal majorization-minimization
  algorithm for nonconvex square-root-loss regression problems
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems
Peipei Tang
Chengjing Wang
Defeng Sun
Kim-Chuan Toh
301
27
0
27 Mar 2019
Sharp oracle inequalities for stationary points of nonconvex penalized
  M-estimators
Sharp oracle inequalities for stationary points of nonconvex penalized M-estimatorsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2018
A. Elsener
Sara van de Geer
233
12
0
27 Feb 2018
Robust machine learning by median-of-means : theory and practice
Robust machine learning by median-of-means : theory and practice
Guillaume Lecué
M. Lerasle
OOD
572
167
0
28 Nov 2017
Asymptotic Confidence Regions for High-dimensional Structured Sparsity
Asymptotic Confidence Regions for High-dimensional Structured Sparsity
Benjamin Stucky
Sara van de Geer
240
13
0
28 Jun 2017
Sharp Oracle Inequalities for Low-complexity Priors
Sharp Oracle Inequalities for Low-complexity PriorsAnnals of the Institute of Statistical Mathematics (AISM), 2017
Tung Duy Luu
Jalal Fadili
C. Chesneau
477
7
0
10 Feb 2017
Regularization and the small-ball method I: sparse recovery
Regularization and the small-ball method I: sparse recovery
Guillaume Lecué
S. Mendelson
375
95
0
21 Jan 2016
Convex Regularization for High-Dimensional Multi-Response Tensor
  Regression
Convex Regularization for High-Dimensional Multi-Response Tensor Regression
Garvesh Raskutti
M. Yuan
Han Chen
418
104
0
03 Dec 2015
Sharp Oracle Inequalities for Square Root Regularization
Sharp Oracle Inequalities for Square Root Regularization
Benjamin Stucky
Sara van de Geer
252
36
0
14 Sep 2015
A Geometric View on Constrained M-Estimators
A Geometric View on Constrained M-Estimators
Yen-Huan Li
Ya-Ping Hsieh
N. Zerbib
Volkan Cevher
289
7
0
26 Jun 2015
$χ^2$-confidence sets in high-dimensional regression
χ2χ^2χ2-confidence sets in high-dimensional regression
Sara van de Geer
Benjamin Stucky
362
0
0
25 Feb 2015
Group Regularized Estimation under Structural Hierarchy
Group Regularized Estimation under Structural Hierarchy
Yiyuan She
Zhifeng Wang
He Jiang
431
50
0
17 Nov 2014
Worst possible sub-directions in high-dimensional models
Worst possible sub-directions in high-dimensional modelsJournal of Multivariate Analysis (JMA), 2014
Sara van de Geer
374
12
0
27 Mar 2014
Regularization for Multiple Kernel Learning via Sum-Product Networks
Regularization for Multiple Kernel Learning via Sum-Product Networks
Ziming Zhang
196
0
0
13 Feb 2014
On model selection consistency of regularized M-estimators
On model selection consistency of regularized M-estimatorsNeural Information Processing Systems (NeurIPS), 2013
Jason D. Lee
Yuekai Sun
Jonathan E. Taylor
707
45
0
31 May 2013
Calibrated Multivariate Regression with Application to Neural Semantic
  Basis Discovery
Calibrated Multivariate Regression with Application to Neural Semantic Basis DiscoveryJournal of machine learning research (JMLR), 2013
Han Liu
Lie Wang
Tuo Zhao
437
36
0
10 May 2013
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