Sharp Convergence Rates for Forward Regression in High-Dimensional Sparse Linear Models

3 February 2017

Papers citing "Sharp Convergence Rates for Forward Regression in High-Dimensional Sparse Linear Models"

7 / 7 papers shown

Title
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" A. Belloni Victor Chernozhukov Christian B. Hansen 268 1,405 0 27 May 2013
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection Abhimanyu Das David Kempe 199 484 0 19 Feb 2011
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 327 292 0 09 Mar 2009
The sparsity and bias of the Lasso selection in high-dimensional linear regression Cun-Hui Zhang Jian Huang 469 869 0 07 Aug 2008
High-dimensional generalized linear models and the lasso Sara van de Geer 627 756 0 04 Apr 2008
Discussion: A tale of three cousins: Lasso, L2Boosting and Dantzig N. Meinshausen G. Rocha B. Yu 364 73 0 21 Mar 2008
Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimators Karim Lounici 462 242 0 30 Jan 2008