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We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest.
An analysis of the approximations for maximizing submodular set functions
G. Nemhauser, L. Wolsey, and M. Fisher · 1978
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Sparse approximation solutions to linear systems
B. Natarajan · 1995
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Regression shrinkage and selection via the lasso
R. Tibshirani · 1996
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Statistics for the Social and Behavioral Sciences
G. Diekhoff · 2002
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Applied Multivariate Statistical Analysis
R. A. Johnson and D. W. Wichern · 2002
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Subset Selection in Regression
A. Miller · 2002
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Approximation of functions over redundant dictionaries using coherence
A. Gilbert, S. Muthukrishnan, and M. Strauss · 2003
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Improved sparse approximation over quasi-incoherent dictionaries
J. Tropp, A. Gilbert, S. Muthukrishnan, and M. Strauss · 2003
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Greed is good: algorithmic results for sparse approximation
J. Tropp · 2004
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Stable signal recovery from incomplete and inaccurate measurements
E. J. Candès, J. Romberg, and T. Tao · 2005
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For most large underdetermined systems of linear equations, the minimal 11-norm near-solution approximates the sparsest near-solution
D. Donoho · 2005
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Just relax: Convex programming methods for identifying sparse signals
J. Tropp · 2006
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On model selection consistency of lasso
P. Zhao and B. Yu · 2006
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l1_ls: Simple Matlab Solver for l1-regularized Least Squares Problems, 2008
K. Koh, S. Kim, and S. Boyd · 2008
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Adaptive forward-backward greedy algorithm for sparse learning with linear models
T. Zhang · 2008
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Grouped orthogonal matching pursuit for variable selection and prediction
A. C. Lozano, G. Swirszcz, and N. Abe · 2009
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On the consistency of feature selection using greedy least squares regression
T. Zhang · 2009
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Thresholding procedures for high dimensional variable selection and statistical estimation
S. Zhou · 2009
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Submodular dictionary selection for sparse representation
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Algorithms for subset selection in linear regression
A. Das and D. Kempe · 2008
Cited alongside, same era.
A. Krause and V. Cevher · 2010
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