Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP

14 June 2017

Papers citing "Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP"

8 / 8 papers shown

Title
Online Sparse Linear Regression Dean Phillips Foster Satyen Kale H. Karloff 61 18 0 07 Mar 2016
Linear and Conic Programming Estimators in High-Dimensional Errors-in-variables Models A. Belloni M. Rosenbaum Alexandre B. Tsybakov 77 70 0 01 Aug 2014
Learning without Concentration S. Mendelson 229 334 0 01 Jan 2014
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition Adel Javanmard Andrea Montanari 118 21 0 02 May 2013
Optimal Algorithms for Ridge and Lasso Regression with Partially Observed Attributes Elad Hazan Tomer Koren 66 44 0 23 Aug 2011
Efficient Learning with Partially Observed Attributes Nicolò Cesa-Bianchi Shai Shalev-Shwartz Ohad Shamir 111 90 0 26 Apr 2010
Sparse recovery under matrix uncertainty M. Rosenbaum Alexandre B. Tsybakov 141 167 0 15 Dec 2008
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 538 2,531 0 07 Jan 2008