A. T. Mario and . Figueiredo, Teaching a new trick to an old dog: Revisiting the quadratic programming formulation of sparse recovery using admm, Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, pp.1512-1516, 2014.

S. Foucart and H. Rauhut, A mathematical introduction to compressive sensing., Applied and Numerical Harmonic Analysis, 2013.

M. R. Osborne, B. Presnell, and B. A. Turlach, A new approach to variable selection in least squares problems, IMA Journal of Numerical Analysis, vol.20, issue.3, pp.389-403, 2000.
DOI : 10.1093/imanum/20.3.389

B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, Least angle regression, The Annals of Statistics, vol.32, issue.2, pp.407-451, 2004.

A. Beck and M. Teboulle, A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems, SIAM Journal on Imaging Sciences, vol.2, issue.1, pp.183-202, 2009.
DOI : 10.1137/080716542

M. V. Afonso, J. M. Bioucas-dias, and M. A. Figueiredo, Fast Image Recovery Using Variable Splitting and Constrained Optimization, IEEE Transactions on Image Processing, vol.19, issue.9, pp.2345-2356, 2010.
DOI : 10.1109/TIP.2010.2047910
URL : http://arxiv.org/abs/0910.4887

L. El-ghaoui, V. Viallon, and T. Rabbani, Safe feature elimination in sparse supervised learning, 2010.

Y. Wang, Z. J. Xiang, and P. J. Ramadge, Lasso screening with a small regularization parameter, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3342-3346, 2013.
DOI : 10.1109/ICASSP.2013.6638277

J. Zhen, H. Xiang, P. J. Xu, and . Ramadge, Learning sparse representations of high dimensional data on large scale dictionaries, Advances in Neural Information Processing Systems 24, J. Shawe-taylor, pp.900-908, 2011.

J. Zhen, P. J. Xiang, and . Ramadge, Fast lasso screening tests based on correlations, Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, pp.2137-2140, 2012.

H. Wu and P. J. Ramadge, The 2-codeword screening test for lasso problems, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3307-3311, 2013.
DOI : 10.1109/ICASSP.2013.6638270

J. Zhen, Y. Xiang, P. J. Wang, and . Ra-madge, Screening tests for lasso problems, 2014.

J. Liu, Z. Zhao, J. Wang, and J. Ye, Safe screening with variational inequalities and its application to lasso, Proceedings of the 31st International Conference on Machine Learning (ICML-14) Conference Proceedings, pp.289-297, 2014.

J. Wang, P. Wonka, and J. Ye, Lasso screening rules via dual polytope projection, Journal of Machine Learning Research, 2015.

O. Fercoq, A. Gramfort, and J. Salmon, Mind the duality gap: safer rules for the lasso, ICML, 2015.

J. Ryan and O. Tibshirani, The lasso problem and uniqueness, Electronic Journal of Statistics, vol.7, pp.1456-1490, 2013.

A. Bonnefoy, V. Emiya, L. Ralaivola, and R. Gribonval, A dynamic screening principle for the lasso, Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European, pp.6-10, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00880787

A. Bonnefoy, V. Emiya, L. Ralaivola, and R. Gribonval, Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso, IEEE Transactions on Signal Processing, vol.63, issue.19, pp.5121-5132, 2015.
DOI : 10.1109/TSP.2015.2447503
URL : https://hal.archives-ouvertes.fr/hal-01084986