Hierarchical selection of variables in sparse high-dimensional regression

Universal approximation bounds for superpositions of a sigmoidal function

Barron, A. (1993) · 1993

Earlier work this paper cites.

Regression shrinkage and selection via the lasso

Tibshirani, R. (1996) · 1996

Earlier work this paper cites.

Topics in Non-parametric Statistics, Ecole d’Eté de Probabilités de Saint-Flour XXVIII - 1998

Nemirovski, A. (2000) · 1998

Earlier work this paper cites.

Asymptotics for lasso-type estimators

Fu, W. and Knight, K. (2000) · 2000

Earlier work this paper cites.

Functional aggregation for nonparametric estimation

Juditsky, A. and Nemirovski, A. (2000) · 2000

Earlier work this paper cites.

Atomic decomposition by basis pursuit

Chen, S., Donoho, D., and Saunders, M. (2001) · 2001

Earlier work this paper cites.

Reconstruction of sparse vectors in white gaussian noise

Golubev, G. (2002) · 2002

Cited alongside, same era.

Least angle regression

Efron, B., Hastie, T., Johnstone, I., and Tibshirani, R. (2004) · 2004

Cited alongside, same era.

Persistency in high dimensional linear predictor-selection and the virtue of over-parametrization

Greenshtein, E. and Ritov, Y. (2004) · 2004

Cited alongside, same era.

On algorithms for solving least squares problems under an l1 penalty or an l1 constraint

Turlach, B. A. (2005) · 2004

Cited alongside, same era.

Adapting to unknown sparsity by controlling the false discovery rate

Abramovich, F., Benjamini, Y., Donoho, D., and Johnstone, I. (2006) · 2006

Cited alongside, same era.

High-dimensional graphs and variable selection with the lasso

Meinshausen, N. and Bühlmann, P. (2006) · 2006

Lasso type recovery of sparse representations for high dimensional data

Meinshausen, N. and Yu, B. (2006) · 2006

Later among the works it cites.

Model-selection consistency of the lasso in high-dimensional regression

Zhang, C.-H. and Huang, J. (2006) · 2006

Later among the works it cites.

On model selection consistency of lasso

Zhao, P. and Yu, B. (2006) · 2006

Later among the works it cites.

Paralleling lasso and dantzig selector

Bickel, P., Ritov, Y., and Tsybakov, A. (2007) · 2007

Later among the works it cites.

The dantzig selector: statistical estimation when p p is much larger than n n

Candes, E. and Tao, T. (2007) · 2007

Later among the works it cites.