Archive for August, 2011

Sparsity, Sparsity, Sparsity …… Some interesting papers


  1. 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.
    1. http://videolectures.net/icml09_jacob_glog/
    2. www.machinelearning.org/archive/icml2009/papers/471.pdf
  2. 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.
    1. www-stat.stanford.edu/~tibs/Correlate/pmd.pdf
  3. 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.
    1. http://jmlr.csail.mit.edu/proceedings/papers/v9/jenatton10a/jenatton10a.pdf
  4. 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.
    1. http://www2.isye.gatech.edu/~myuan/papers/glasso.final.pdf
  5. 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.
    1. http://books.nips.cc/papers/files/nips23/NIPS2010_0776.pdf
  6. 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.
    1. http://jmlr.csail.mit.edu/papers/volume11/mairal10a/mairal10a.pdf