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Stochastic optimization and sparse statistical recovery: An optimal
  algorithm for high dimensions

Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions

18 July 2012
Alekh Agarwal
S. Negahban
Martin J. Wainwright
ArXivPDFHTML

Papers citing "Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions"

2 / 2 papers shown
Title
Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for
  Regularized Empirical Risk Minimization
Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization
Tomoya Murata
Taiji Suzuki
OffRL
25
28
0
01 Mar 2017
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
189
749
0
04 Apr 2008
1