Papers citing 'Support estimation in high-dimensional heteroscedastic mean regression'

Title
Optimal variable selection and adaptive noisy Compressed Sensing M. Ndaoud Alexandre B. Tsybakov 426 28 0 10 Sep 2018
Adaptive Huber Regression Qiang Sun Wen-Xin Zhou Jianqing Fan 292 307 0 21 Jun 2017
Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression Congrui Yi Jian Huang 124 157 0 09 Sep 2015
I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error Jianqing Fan Han Liu Qiang Sun Tong Zhang 248 128 0 03 Jul 2015
Support recovery without incoherence: A case for nonconvex regularization Po-Ling Loh Martin J. Wainwright 269 176 0 17 Dec 2014
The Lasso Problem and Uniqueness Robert Tibshirani 492 576 0 01 Jun 2012
Adaptive robust variable selectionAnnals of Statistics (Ann. Stat.), 2012 Jianqing Fan Yingying Fan Emre Barut 1.1K 208 0 22 May 2012
Challenging the empirical mean and empirical variance: a deviation study O. Catoni 513 494 0 10 Sep 2010
L1-Penalized Quantile Regression in High-Dimensional Sparse Models A. Belloni Victor Chernozhukov 633 467 0 19 Apr 2009
Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling Shuheng Zhou Sara van de Geer Peter Buhlmann 301 81 0 13 Mar 2009