ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1009.5689
  4. Cited By
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic
  Programming

Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming

28 September 2010
A. Belloni
Victor Chernozhukov
Lie Wang
ArXivPDFHTML

Papers citing "Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming"

16 / 16 papers shown
Title
Treatment Effect Estimation with Observational Network Data using Machine Learning
Treatment Effect Estimation with Observational Network Data using Machine Learning
Corinne Emmenegger
Meta-Lina Spohn
Timon Elmer
Peter Buhlmann
CML
159
3
1
20 Jan 2025
Alternating minimization for square root principal component pursuit
Alternating minimization for square root principal component pursuit
Shengxiang Deng
Xudong Li
Yangjing Zhang
148
0
0
31 Dec 2024
Training a neural netwok for data reduction and better generalization
Training a neural netwok for data reduction and better generalization
S. Sardy
Maxime van Cutsem
Xiaoyu Ma
MLT
98
0
0
26 Nov 2024
Efficient Optimization Algorithms for Linear Adversarial Training
Efficient Optimization Algorithms for Linear Adversarial Training
Antônio H. Ribeiro
Thomas B. Schon
Dave Zahariah
Francis Bach
AAML
72
1
0
16 Oct 2024
Linear Hypothesis Testing in Dense High-Dimensional Linear Models
Linear Hypothesis Testing in Dense High-Dimensional Linear Models
Yinchu Zhu
Jelena Bradic
141
85
0
10 Oct 2016
Precise Error Analysis of Regularized M-estimators in High-dimensions
Precise Error Analysis of Regularized M-estimators in High-dimensions
Christos Thrampoulidis
Ehsan Abbasi
B. Hassibi
180
220
0
23 Jan 2016
Pivotal estimation via square-root Lasso in nonparametric regression
Pivotal estimation via square-root Lasso in nonparametric regression
A. Belloni
Victor Chernozhukov
Lie Wang
189
152
0
07 May 2011
Templates for Convex Cone Problems with Applications to Sparse Signal
  Recovery
Templates for Convex Cone Problems with Applications to Sparse Signal Recovery
Stephen Becker
Emmanuel J. Candès
Michael C. Grant
95
681
0
10 Sep 2010
L1-Penalized Quantile Regression in High-Dimensional Sparse Models
L1-Penalized Quantile Regression in High-Dimensional Sparse Models
A. Belloni
Victor Chernozhukov
190
457
0
19 Apr 2009
Taking Advantage of Sparsity in Multi-Task Learning
Taking Advantage of Sparsity in Multi-Task Learning
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
322
292
0
09 Mar 2009
The sparsity and bias of the Lasso selection in high-dimensional linear
  regression
The sparsity and bias of the Lasso selection in high-dimensional linear regression
Cun-Hui Zhang
Jian Huang
469
869
0
07 Aug 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
475
882
0
01 Jun 2008
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
624
756
0
04 Apr 2008
Asymptotic properties of bridge estimators in sparse high-dimensional
  regression models
Asymptotic properties of bridge estimators in sparse high-dimensional regression models
Jian Huang
J. Horowitz
Shuangge Ma
217
519
0
04 Apr 2008
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
530
2,530
0
07 Jan 2008
Aggregation for Gaussian regression
Aggregation for Gaussian regression
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
499
362
0
19 Oct 2007
1