## Sparsity, Sparsity, Sparsity …… Some interesting papers

- Jacob, L., Obozinski, G., & Vert, J.-P. (2009). Group lasso with overlap and graph lasso. Proceedings of the 26th Annual International Conference on Machine Learning – ICML ’09, 1-8. New York, New York, USA: ACM Press. doi: 10.1145/1553374.1553431.
- D.M. Witten, R. Tibshirani, and T. Hastie, “A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis.,” Biostatistics (Oxford, England), vol. 10, Jul. 2009, pp. 515-34.
- R. Jenatton, G. Obozinski, and F. Bach, “Structured Sparse Principal Component Analysis,” Journal of Machine Learning Research: W&CP, vol. 9, Sep. 2009, pp. 366-373.
- M. Yuan and Y. Lin, “Model selection and estimation in regression with grouped variables,” Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol. 68, Feb. 2006, pp. 49-67.
- S. Mosci, D.- Universit, A. Verri, D.- Universit, and L. Rosasco, “A primal-dual algorithm for group sparse regularization with overlapping groups,” Advances in Neural Information Processing Systems, 2010.
- J. Mairal, F. Bach, J. Ponce, and G. Sapiro, “Online Learning for Matrix Factorization and Sparse Coding,” Journal of Machine Learning Research, vol. 11, Aug. 2009, pp. 19-60.

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