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Robust Lasso with missing and grossly corrupted observations

Robust Lasso with missing and grossly corrupted observations

2 December 2011
Nam H. Nguyen
T. Tran
ArXivPDFHTML

Papers citing "Robust Lasso with missing and grossly corrupted observations"

13 / 63 papers shown
Title
A General Family of Trimmed Estimators for Robust High-dimensional Data
  Analysis
A General Family of Trimmed Estimators for Robust High-dimensional Data Analysis
Eunho Yang
A. Lozano
Aleksandr Aravkin
20
10
0
26 May 2016
Convex programming approach to robust estimation of a multivariate
  Gaussian model
Convex programming approach to robust estimation of a multivariate Gaussian model
Samuel Balmand
A. Dalalyan
12
8
0
15 Dec 2015
Robust Classification by Pre-conditioned LASSO and Transductive Diffusion Component Analysis
Yanwei Fu
De-An Huang
Leonid Sigal
9
0
0
19 Nov 2015
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso
Eunho Yang
A. Lozano
20
25
0
28 Oct 2015
Robust Regression via Hard Thresholding
Robust Regression via Hard Thresholding
Kush S. Bhatia
Prateek Jain
Purushottam Kar
AAML
OOD
13
156
0
08 Jun 2015
Sparse and Robust Linear Regression: An Optimization Algorithm and Its
  Statistical Properties
Sparse and Robust Linear Regression: An Optimization Algorithm and Its Statistical Properties
Shota Katayama
Hironori Fujisawa
37
10
0
20 May 2015
Geometric median and robust estimation in Banach spaces
Geometric median and robust estimation in Banach spaces
Stanislav Minsker
42
309
0
06 Aug 2013
Minimum Distance Estimation for Robust High-Dimensional Regression
Minimum Distance Estimation for Robust High-Dimensional Regression
A. Lozano
N. Meinshausen
26
11
0
11 Jul 2013
A Max-Product EM Algorithm for Reconstructing Markov-tree Sparse Signals
  from Compressive Samples
A Max-Product EM Algorithm for Reconstructing Markov-tree Sparse Signals from Compressive Samples
Zhao-quan Song
Aleksandar Dogandzic
51
5
0
05 Sep 2012
Compressed Sensing and Matrix Completion with Constant Proportion of
  Corruptions
Compressed Sensing and Matrix Completion with Constant Proportion of Corruptions
Xiaodong Li
70
179
0
06 Apr 2011
Exact recoverability from dense corrupted observations via $L_1$
  minimization
Exact recoverability from dense corrupted observations via L1L_1L1​ minimization
Nam H. Nguyen
T. Tran
50
117
0
07 Feb 2011
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
181
292
0
09 Mar 2009
High-dimensional additive modeling
High-dimensional additive modeling
L. Meier
Sara van de Geer
Peter Buhlmann
195
481
0
25 Jun 2008
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