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Simultaneous analysis of Lasso and Dantzig selector

Simultaneous analysis of Lasso and Dantzig selector

7 January 2008
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
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Papers citing "Simultaneous analysis of Lasso and Dantzig selector"

50 / 530 papers shown
Title
Ridge regression and asymptotic minimax estimation over spheres of
  growing dimension
Ridge regression and asymptotic minimax estimation over spheres of growing dimension
Lee H. Dicker
28
75
0
15 Jan 2016
Functional linear regression with points of impact
Functional linear regression with points of impact
A. Kneip
D. Poss
P. Sarda
8
41
0
12 Jan 2016
Analysis of Testing-Based Forward Model Selection
Analysis of Testing-Based Forward Model Selection
Damian Kozbur
28
9
0
08 Dec 2015
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression
Bryon Aragam
Arash A. Amini
Qing Zhou
CML
19
42
0
29 Nov 2015
False Discoveries Occur Early on the Lasso Path
False Discoveries Occur Early on the Lasso Path
Weijie Su
M. Bogdan
Emmanuel Candes
32
180
0
05 Nov 2015
Consistent Parameter Estimation for LASSO and Approximate Message
  Passing
Consistent Parameter Estimation for LASSO and Approximate Message Passing
Ali Mousavi
A. Maleki
Richard G. Baraniuk
17
58
0
03 Nov 2015
Robust Reduced Rank Regression
Robust Reduced Rank Regression
Yiyuan She
Kun Chen
23
58
0
14 Sep 2015
I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic
  Complexity and Statistical Error
I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error
Jianqing Fan
Han Liu
Qiang Sun
Tong Zhang
26
115
0
03 Jul 2015
A Geometric View on Constrained M-Estimators
A Geometric View on Constrained M-Estimators
Yen-Huan Li
Ya-Ping Hsieh
N. Zerbib
V. Cevher
19
6
0
26 Jun 2015
Inference of high-dimensional linear models with time-varying
  coefficients
Inference of high-dimensional linear models with time-varying coefficients
Xiaohui Chen
Yifeng He
42
9
0
12 Jun 2015
A General Framework for Bayes Structured Linear Models
A General Framework for Bayes Structured Linear Models
Chao Gao
A. van der Vaart
Harrison H. Zhou
37
57
0
06 Jun 2015
Mind the duality gap: safer rules for the Lasso
Mind the duality gap: safer rules for the Lasso
Olivier Fercoq
Alexandre Gramfort
Joseph Salmon
44
138
0
13 May 2015
Graph Connectivity in Noisy Sparse Subspace Clustering
Graph Connectivity in Noisy Sparse Subspace Clustering
Yining Wang
Yu-Xiang Wang
Aarti Singh
35
9
0
04 Apr 2015
Variance Breakdown of Huber (M)-estimators: $n/p \rightarrow m \in
  (1,\infty)$
Variance Breakdown of Huber (M)-estimators: n/p→m∈(1,∞)n/p \rightarrow m \in (1,\infty)n/p→m∈(1,∞)
D. Donoho
Andrea Montanari
27
14
0
06 Mar 2015
Prediction error of cross-validated Lasso
Prediction error of cross-validated Lasso
S. Chatterjee
Jafar Jafarov
48
42
0
23 Feb 2015
Model Selection Consistency of Lasso for Empirical Data
Model Selection Consistency of Lasso for Empirical Data
Yuehan Yang
Hu Yang
34
2
0
06 Feb 2015
Implementable confidence sets in high dimensional regression
Implementable confidence sets in high dimensional regression
Alexandra Carpentier
37
4
0
19 Jan 2015
Sparse and low-rank multivariate Hawkes processes
Sparse and low-rank multivariate Hawkes processes
Emmanuel Bacry
Martin Bompaire
Stéphane Gaïffas
Jean-François Muzy
37
49
0
04 Jan 2015
Statistical consistency and asymptotic normality for high-dimensional
  robust M-estimators
Statistical consistency and asymptotic normality for high-dimensional robust M-estimators
Po-Ling Loh
37
192
0
01 Jan 2015
High Dimensional Expectation-Maximization Algorithm: Statistical
  Optimization and Asymptotic Normality
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality
Zhaoran Wang
Quanquan Gu
Y. Ning
Han Liu
33
53
0
30 Dec 2014
A General Framework for Robust Testing and Confidence Regions in
  High-Dimensional Quantile Regression
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression
Tianqi Zhao
Mladen Kolar
Han Liu
35
43
0
30 Dec 2014
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and
  Theory
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory
T. Zhao
Han Liu
Tong Zhang
32
46
0
23 Dec 2014
Support recovery without incoherence: A case for nonconvex
  regularization
Support recovery without incoherence: A case for nonconvex regularization
Po-Ling Loh
Martin J. Wainwright
39
166
0
17 Dec 2014
The Benefit of Group Sparsity in Group Inference with De-biased Scaled
  Group Lasso
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso
Ritwik Mitra
Cun-Hui Zhang
47
46
0
13 Dec 2014
False discovery rate smoothing
False discovery rate smoothing
Wesley Tansey
Oluwasanmi Koyejo
R. Poldrack
James G. Scott
25
46
0
22 Nov 2014
Group Regularized Estimation under Structural Hierarchy
Group Regularized Estimation under Structural Hierarchy
Yiyuan She
Zhifeng Wang
He Jiang
51
47
0
17 Nov 2014
Optimal Two-Step Prediction in Regression
Optimal Two-Step Prediction in Regression
Didier Chételat
Johannes Lederer
Joseph Salmon
38
19
0
18 Oct 2014
Robust Estimation of High-Dimensional Mean Regression
Robust Estimation of High-Dimensional Mean Regression
Jianqing Fan
Quefeng Li
Yuyan Wang
31
30
0
08 Oct 2014
Statistical Estimation: From Denoising to Sparse Regression and Hidden
  Cliques
Statistical Estimation: From Denoising to Sparse Regression and Hidden Cliques
Eric W. Tramel
Santhosh Kumar
A. Giurgiu
Andrea Montanari
18
11
0
19 Sep 2014
Finite mixture regression: A sparse variable selection by model
  selection for clustering
Finite mixture regression: A sparse variable selection by model selection for clustering
Emilie Devijver
18
26
0
04 Sep 2014
Stochastic Coordinate Coding and Its Application for Drosophila Gene
  Expression Pattern Annotation
Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation
Binbin Lin
Qingyang Li
Qian Sun
M. Lai
Ian Davidson
Wei Fan
Jieping Ye
49
40
0
30 Jul 2014
Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian
  Mixtures
Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures
Martin Azizyan
Aarti Singh
Larry A. Wasserman
28
22
0
09 Jun 2014
On higher order isotropy conditions and lower bounds for sparse
  quadratic forms
On higher order isotropy conditions and lower bounds for sparse quadratic forms
Sara van de Geer
Alan Muro
23
29
0
23 May 2014
Censored linear model in high dimensions
Censored linear model in high dimensions
Patrice Müller
Sara van de Geer
43
21
0
03 May 2014
Controlling the false discovery rate via knockoffs
Controlling the false discovery rate via knockoffs
Rina Foygel Barber
Emmanuel J. Candès
41
741
0
22 Apr 2014
The Degrees of Freedom of Partly Smooth Regularizers
The Degrees of Freedom of Partly Smooth Regularizers
Samuel Vaiter
Charles-Alban Deledalle
M. Fadili
Gabriel Peyré
C. Dossal
95
49
0
22 Apr 2014
Geometric Inference for General High-Dimensional Linear Inverse Problems
Geometric Inference for General High-Dimensional Linear Inverse Problems
T. Tony Cai
Tengyuan Liang
Alexander Rakhlin
48
27
0
17 Apr 2014
The Horseshoe Estimator: Posterior Concentration around Nearly Black
  Vectors
The Horseshoe Estimator: Posterior Concentration around Nearly Black Vectors
S. V. D. Pas
B. Kleijn
A. van der Vaart
40
166
0
01 Apr 2014
On the Sensitivity of the Lasso to the Number of Predictor Variables
On the Sensitivity of the Lasso to the Number of Predictor Variables
Cheryl J. Flynn
Clifford M. Hurvich
J. Simonoff
38
14
0
18 Mar 2014
A new perspective on least squares under convex constraint
A new perspective on least squares under convex constraint
S. Chatterjee
51
114
0
04 Feb 2014
Impacts of high dimensionality in finite samples
Impacts of high dimensionality in finite samples
Jinchi Lv
36
20
0
12 Nov 2013
Distance-based and continuum Fano inequalities with applications to
  statistical estimation
Distance-based and continuum Fano inequalities with applications to statistical estimation
John C. Duchi
Martin J. Wainwright
35
66
0
12 Nov 2013
Variable Selection in Causal Inference Using Penalization
Variable Selection in Causal Inference Using Penalization
Ashkan Ertefaie
M. Asgharian
D. Stephens
CML
32
2
0
06 Nov 2013
Parameterless Optimal Approximate Message Passing
Parameterless Optimal Approximate Message Passing
Ali Mousavi
A. Maleki
Richard G. Baraniuk
29
33
0
31 Oct 2013
Asymptotic Analysis of LASSOs Solution Path with Implications for
  Approximate Message Passing
Asymptotic Analysis of LASSOs Solution Path with Implications for Approximate Message Passing
Ali Mousavi
A. Maleki
Richard G. Baraniuk
35
20
0
23 Sep 2013
Asymptotically Normal and Efficient Estimation of Covariate-Adjusted
  Gaussian Graphical Model
Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model
Mengjie Chen
Zhao Ren
Hongyu Zhao
Harrison H. Zhou
22
59
0
23 Sep 2013
Challenges of Big Data Analysis
Challenges of Big Data Analysis
Jianqing Fan
Fang Han
Han Liu
74
1,278
0
07 Aug 2013
Geometric median and robust estimation in Banach spaces
Geometric median and robust estimation in Banach spaces
Stanislav Minsker
45
309
0
06 Aug 2013
The partial linear model in high dimensions
The partial linear model in high dimensions
Patrice Müller
Sara van de Geer
32
41
0
03 Jul 2013
A Direct Estimation of High Dimensional Stationary Vector
  Autoregressions
A Direct Estimation of High Dimensional Stationary Vector Autoregressions
Fang Han
Huanran Lu
Han Liu
58
120
0
01 Jul 2013
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