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Mailing list: matrix-sai at utlists.utexas | Mailing list: matrix-sai at utlists.utexas | ||
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+ | === III === | ||
+ | |Date | 31 Mar 2010. | | ||
+ | |Paper | Pradeep Ravikumar et al: High-dimensional covariance estimation by minimizing l_1-penalized log-determinant divergence http://www.stat.berkeley.edu/tech-reports/767.pdf| | | ||
+ | |Presenter | Matyas Sustik | | | ||
+ | |Notes | This paper contains a good introduction to covariance matrix estimation; the "large p small n case"; the connection to logdet divergence before delving into its main results. | | | ||
=== II. Intro to the use of Support graphs in finding preconditioners === | === II. Intro to the use of Support graphs in finding preconditioners === | ||
- | | Date | 24th Feb 2010. | | + | | Date | 24th Feb 2010. 11th Mar 2010 | |
|Presenter | Pradeep Ravikumar | | |Presenter | Pradeep Ravikumar | | ||
- | Reading Material | ||
- | 1. [[http://en.wikipedia.org/wiki/Preconditioner|Preconditioners]] | + | Reading Material |
+ | |||
+ | 1. [[http://en.wikipedia.org/wiki/Preconditioner|Preconditioners]] | ||
2. [[http://www.sandia.gov/~bahendr/support.html|Collection of papers on support-graph preconditioners]] | 2. [[http://www.sandia.gov/~bahendr/support.html|Collection of papers on support-graph preconditioners]] | ||
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=== I. Preconditioner approximations for probabilistic graphical models === | === I. Preconditioner approximations for probabilistic graphical models === | ||
|Date | 10th Feb 2010. | | |Date | 10th Feb 2010. | | ||
|Presenter | vishvAs vAsuki | | |Presenter | vishvAs vAsuki | | ||
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Reading Material | Reading Material | ||
- | [[http://www.cs.cmu.edu/~pradeepr/papers/precondnips.pdf|Paper]]. P. Ravikumar and J. Lafferty. In Advances in Neural Information Processing Systems (NIPS) 18, pages 1113-1120, 2006. | + | 1. [[http://www.cs.cmu.edu/~pradeepr/papers/precondnips.pdf|Paper]]. P. Ravikumar and J. Lafferty. In Advances in Neural Information Processing Systems (NIPS) 18, pages 1113-1120, 2006. |
===== Papers proposed ===== | ===== Papers proposed ===== | ||
- | |Paper | | | ||
- | |Proposer | | | ||
- | |Why? | | | ||