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Estimation with Norm Regularization
v1v2v3 (latest)

Estimation with Norm Regularization

9 May 2015
A. Banerjee
Sheng Chen
F. Fazayeli
V. Sivakumar
ArXiv (abs)PDFHTML

Papers citing "Estimation with Norm Regularization"

18 / 18 papers shown
Title
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
191
220
0
23 Jan 2016
Sparse Estimation with Strongly Correlated Variables using Ordered
  Weighted L1 Regularization
Sparse Estimation with Strongly Correlated Variables using Ordered Weighted L1 Regularization
Mário A. T. Figueiredo
Robert D. Nowak
198
29
0
14 Sep 2014
Generalized Dantzig Selector: Application to the k-support norm
Generalized Dantzig Selector: Application to the k-support norm
Soumyadeep Chatterjee
Sheng Chen
A. Banerjee
72
36
0
20 Jun 2014
Estimation in high dimensions: a geometric perspective
Estimation in high dimensions: a geometric perspective
Roman Vershynin
141
134
0
20 May 2014
Convex recovery of a structured signal from independent random linear
  measurements
Convex recovery of a structured signal from independent random linear measurements
J. Tropp
115
177
0
05 May 2014
An Inequality with Applications to Structured Sparsity and Multitask
  Dictionary Learning
An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning
Andreas Maurer
Massimiliano Pontil
Bernardino Romera-Paredes
85
23
0
08 Feb 2014
Sparse recovery under weak moment assumptions
Sparse recovery under weak moment assumptions
Guillaume Lecué
S. Mendelson
191
98
0
09 Jan 2014
Learning without Concentration
Learning without Concentration
S. Mendelson
224
334
0
01 Jan 2014
The lower tail of random quadratic forms, with applications to ordinary
  least squares and restricted eigenvalue properties
The lower tail of random quadratic forms, with applications to ordinary least squares and restricted eigenvalue properties
R. Oliveira
85
101
0
10 Dec 2013
The Squared-Error of Generalized LASSO: A Precise Analysis
The Squared-Error of Generalized LASSO: A Precise Analysis
Samet Oymak
Christos Thrampoulidis
B. Hassibi
142
131
0
04 Nov 2013
Gemini: Graph estimation with matrix variate normal instances
Gemini: Graph estimation with matrix variate normal instances
Shuheng Zhou
96
106
0
23 Sep 2012
Robust 1-bit compressed sensing and sparse logistic regression: A convex
  programming approach
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
Y. Plan
Roman Vershynin
242
457
0
06 Feb 2012
The Convex Geometry of Linear Inverse Problems
The Convex Geometry of Linear Inverse Problems
V. Chandrasekaran
Benjamin Recht
P. Parrilo
A. Willsky
208
1,341
0
03 Dec 2010
Estimation of (near) low-rank matrices with noise and high-dimensional
  scaling
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
S. Negahban
Martin J. Wainwright
232
570
0
27 Dec 2009
Restricted Eigenvalue Conditions on Subgaussian Random Matrices
Restricted Eigenvalue Conditions on Subgaussian Random Matrices
Shuheng Zhou
188
81
0
21 Dec 2009
Which graphical models are difficult to learn?
Which graphical models are difficult to learn?
Andrea Montanari
J. A. Pereira
93
90
0
30 Oct 2009
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
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
535
2,530
0
07 Jan 2008
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