Scaled Sparse Linear Regression

24 April 2011

Papers citing "Scaled Sparse Linear Regression"

21 / 71 papers shown

Title
Selective inference with unknown variance via the square-root LASSO Xiaoying Tian Joshua R. Loftus Jonathan E. Taylor 43 38 0 29 Apr 2015
Prediction error of cross-validated Lasso S. Chatterjee Jafar Jafarov 48 42 0 23 Feb 2015
Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels Yanwei Fu Timothy M. Hospedales Tao Xiang Jiechao Xiong S. Gong Yizhou Wang Yuan Yao 26 46 0 25 Jan 2015
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso Ritwik Mitra Cun-Hui Zhang 60 46 0 13 Dec 2014
Optimal Two-Step Prediction in Regression Didier Chételat Johannes Lederer Joseph Salmon 40 19 0 18 Oct 2014
Optimal bounds for aggregation of affine estimators Pierre C. Bellec 28 25 0 01 Oct 2014
Finite mixture regression: A sparse variable selection by model selection for clustering Emilie Devijver 23 26 0 04 Sep 2014
A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection Jeremy A. Sabourin W. Valdar A. Nobel 36 35 0 08 Apr 2014
Semi-Penalized Inference with Direct False Discovery Rate Control in High-Dimensions Jian Huang Shuangge Ma Cun-Hui Zhang Yong Zhou 65 6 0 29 Nov 2013
Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model Mengjie Chen Zhao Ren Hongyu Zhao Harrison H. Zhou 35 59 0 23 Sep 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 30 760 0 13 Jun 2013
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 48 1,124 0 03 Mar 2013
The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms F. Bunea Johannes Lederer Yiyuan She 49 110 0 01 Feb 2013
A significance test for the lasso R. Lockhart Jonathan E. Taylor R. Tibshirani Robert Tibshirani 74 656 0 30 Jan 2013
Robust subspace clustering Mahdi Soltanolkotabi Ehsan Elhamifar Emmanuel J. Candès 75 365 0 11 Jan 2013
Optimal Estimation and Prediction for Dense Signals in High-Dimensional Linear Models Lee H. Dicker 40 8 0 20 Mar 2012
Sparse Matrix Inversion with Scaled Lasso Tingni Sun Cun-Hui Zhang 66 166 0 13 Feb 2012
Statistical significance in high-dimensional linear models Peter Buhlmann 96 228 0 07 Feb 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
Sparse recovery with unknown variance: a LASSO-type approach Stéphane Chrétien Sébastien Darses 59 33 0 02 Jan 2011
High-dimensional generalized linear models and the lasso Sara van de Geer 196 749 0 04 Apr 2008