Simultaneous analysis of Lasso and Dantzig selector

7 January 2008

Papers citing "Simultaneous analysis of Lasso and Dantzig selector"

50 / 541 papers shown

Title
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 Stanislav Minsker 48 308 0 06 Aug 2013
The partial linear model in high dimensions Patrice Müller Sara van de Geer 34 41 0 03 Jul 2013
A Direct Estimation of High Dimensional Stationary Vector Autoregressions Fang Han Huanran Lu Han Liu 63 120 0 01 Jul 2013
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems Zhaoran Wang Han Liu Tong Zhang 33 175 0 20 Jun 2013
Distributions of Angles in Random Packing on Spheres Tony Cai Jianqing Fan Tiefeng Jiang 57 182 0 02 Jun 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima Po-Ling Loh Martin J. Wainwright 31 512 0 10 May 2013
A framework to characterize performance of LASSO algorithms M. Stojnic 50 128 0 29 Mar 2013
Bayesian Compressed Regression Rajarshi Guhaniyogi David B. Dunson 38 73 0 04 Mar 2013
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 46 1,123 0 03 Mar 2013
Strong oracle optimality of folded concave penalized estimation Jianqing Fan Lingzhou Xue H. Zou 54 302 0 22 Oct 2012
The Lasso for High-Dimensional Regression with a Possible Change-Point S. Lee M. Seo Youngki Shin 71 124 0 21 Sep 2012
Detecting Events and Patterns in Large-Scale User Generated Textual Streams with Statistical Learning Methods Vasileios Lampos 72 13 0 13 Aug 2012
Variable Selection with Exponential Weights and $l_0$ -Penalization E. Arias-Castro Karim Lounici 70 8 0 13 Aug 2012
Scaling Multiple-Source Entity Resolution using Statistically Efficient Transfer Learning S. Negahban Benjamin I. P. Rubinstein J. Gemmell 50 14 0 09 Aug 2012
PAC-Bayesian Estimation and Prediction in Sparse Additive Models Benjamin Guedj Pierre Alquier 102 47 0 06 Aug 2012
Structured Estimation in Nonparameteric Cox Model Jelena Bradic R. Song 61 10 0 18 Jul 2012
Grouping Strategies and Thresholding for High Dimensional Linear Models Mathilde Mougeot D. Picard K. Tribouley 69 5 0 09 Jul 2012
On unified view of nullspace-type conditions for recoveries associated with general sparsity structures A. Juditsky Fatma Kılınç Karzan A. Nemirovski 66 13 0 04 Jul 2012
Quasi-Likelihood and/or Robust Estimation in High Dimensions Sara van de Geer P. Muller 64 27 0 28 Jun 2012
Nearly optimal minimax estimator for high-dimensional sparse linear regression Li Zhang 38 12 0 27 Jun 2012
Statistical Linear Estimation with Penalized Estimators: an Application to Reinforcement Learning Bernardo Avila-Pires Csaba Szepesvári OffRL 42 34 0 27 Jun 2012
Oracle inequalities for the Lasso in the high-dimensional Aalen multiplicative intensity model Sarah Lemler 46 9 0 25 Jun 2012
Conditional Sure Independence Screening Emre Barut Jianqing Fan A. Verhasselt CML 73 121 0 05 Jun 2012
Non-asymptotic Oracle Inequalities for the Lasso and Group Lasso in high dimensional logistic model Marius Kwemou 36 21 0 04 Jun 2012
The Lasso Problem and Uniqueness R. Tibshirani 24 546 0 01 Jun 2012
Efficient Sparse Group Feature Selection via Nonconvex Optimization Shuo Xiang Xiao Tong Jieping Ye 58 57 0 23 May 2012
Adaptive robust variable selection Jianqing Fan Yingying Fan Emre Barut 96 199 0 22 May 2012
Convex Relaxation for Combinatorial Penalties G. Obozinski Francis R. Bach 59 62 0 06 May 2012
Endogeneity in high dimensions Jianqing Fan Yuan Liao 76 103 0 25 Apr 2012
Weakly decomposable regularization penalties and structured sparsity Sara van de Geer 80 63 0 21 Apr 2012
Parallelism, Uniqueness, and Large-Sample Asymptotics for the Dantzig Selector Lee H. Dicker Xihong Lin 40 11 0 20 Mar 2012
Factor models and variable selection in high-dimensional regression analysis A. Kneip P. Sarda 66 53 0 23 Feb 2012
Sparse Matrix Inversion with Scaled Lasso Tingni Sun Cun-Hui Zhang 63 166 0 13 Feb 2012
Statistical significance in high-dimensional linear models Peter Buhlmann 94 228 0 07 Feb 2012
High-dimensional covariance matrix estimation with missing observations Karim Lounici 47 182 0 12 Jan 2012
Estimation And Selection Via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications Jian Huang Cun-Hui Zhang 56 61 0 29 Dec 2011
Robust Lasso with missing and grossly corrupted observations Nam H. Nguyen T. Tran 69 155 0 02 Dec 2011
The degrees of freedom of the Lasso for general design matrix C. Dossal M. Kachour Jalal Fadili Gabriel Peyré C. Chesneau 74 35 0 04 Nov 2011
Group Lasso with Overlaps: the Latent Group Lasso approach G. Obozinski Laurent Jacob Jean-Philippe Vert 85 181 0 03 Oct 2011
Structured sparsity through convex optimization Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 74 323 0 12 Sep 2011
A Probabilistic Framework for Discriminative Dictionary Learning Guohao Li Narendra Ahuja 33 1 0 12 Sep 2011
Trace Lasso: a trace norm regularization for correlated designs Edouard Grave G. Obozinski Francis R. Bach 58 196 0 09 Sep 2011
Sparse Estimation by Exponential Weighting Philippe Rigollet Alexandre B. Tsybakov 77 121 0 25 Aug 2011
Fast-rate and optimistic-rate error bounds for L1-regularized regression Rina Foygel Nathan Srebro 66 7 0 01 Aug 2011
Multi-stage Convex Relaxation for Feature Selection Tong Zhang 51 112 0 03 Jun 2011
Posterior consistency in linear models under shrinkage priors Artin Armagan David B. Dunson Jaeyong Lee W. Bajwa Nate Strawn 36 32 0 20 Apr 2011
Convex and Network Flow Optimization for Structured Sparsity Julien Mairal Rodolphe Jenatton G. Obozinski Francis R. Bach 57 108 0 11 Apr 2011
Group Lasso for high dimensional sparse quantile regression models Kengo Kato 76 48 0 08 Mar 2011
Limiting Laws of Coherence of Random Matrices with Applications to Testing Covariance Structure and Construction of Compressed Sensing Matrices Tony Cai Tiefeng Jiang 43 196 0 14 Feb 2011