Location: ACES 3.116 Time: Wednesdays, 10-11, every other week.

Mailing list: matrix-sai at utlists.utexas

=== 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 ===
| Date | 24th Feb 2010. 11th Mar 2010 |
|Presenter | Pradeep Ravikumar |


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]]

=== I. Preconditioner approximations for probabilistic graphical models ===
|Date | 10th Feb 2010. |
|Presenter | vishvAs vAsuki |
Reading Material

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 =====