Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1204.4813
Cited By
v1
v2 (latest)
Weakly decomposable regularization penalties and structured sparsity
21 April 2012
Sara van de Geer
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Weakly decomposable regularization penalties and structured sparsity"
22 / 22 papers shown
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
Sagnik Halder
George Michailidis
AI4TS
274
0
0
19 Sep 2022
Sparse principal component analysis for high-dimensional stationary time series
Scandinavian 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
Journal of Econometrics (JE), 2021
Mehmet Caner
215
3
0
29 Apr 2021
First order expansion of convex regularized estimators
Neural Information Processing Systems (NeurIPS), 2019
Pierre C. Bellec
Arun K. Kuchibhotla
322
3
0
12 Oct 2019
Asymptotic linear expansion of regularized M-estimators
Annals 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
A. Roche
478
2
0
29 Mar 2019
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
IEEE 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
Guillaume Lecué
M. Lerasle
OOD
572
167
0
28 Nov 2017
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
Annals 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
Guillaume Lecué
S. Mendelson
375
95
0
21 Jan 2016
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
Benjamin Stucky
Sara van de Geer
252
36
0
14 Sep 2015
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
χ^2
χ
2
-confidence sets in high-dimensional regression
Sara van de Geer
Benjamin Stucky
362
0
0
25 Feb 2015
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
Journal of Multivariate Analysis (JMA), 2014
Sara van de Geer
374
12
0
27 Mar 2014
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
Neural 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
Journal of machine learning research (JMLR), 2013
Han Liu
Lie Wang
Tuo Zhao
437
36
0
10 May 2013
1
Page 1 of 1