User Tools

Site Tools


matrix_and_statistical_ai_reading_group

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
matrix_and_statistical_ai_reading_group [2010/02/21 19:23]
70.113.202.165
matrix_and_statistical_ai_reading_group [2013/04/23 21:55] (current)
127.0.0.1 converted to 1.6 markup
Line 1: Line 1:
-Location: ACES 3.116 Time: Wednesdays, 10-11, every other week. Other reading groups: [[reading_groups|Reading Groups]] +Location: ACES 3.116 Time: Wednesdays, 10-11, every other week.
  
 Mailing list: matrix-sai at utlists.utexas Mailing list: matrix-sai at utlists.utexas
  
-===== Papers ​to read ===== +=== III ==
-|Date | 24th Feb 2010. |+|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 | |Presenter | Pradeep Ravikumar |
-|Topic | Intro to the use of Support graphs in finding preconditioners | + 
-|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]]
-| 
  
 +=== I. Preconditioner approximations for probabilistic graphical models ===
 |Date | 10th Feb 2010. | |Date | 10th Feb 2010. |
 |Presenter | vishvAs vAsuki | |Presenter | vishvAs vAsuki |
-|Paper | [[http://​www.cs.cmu.edu/​~pradeepr/​papers/​precondnips.pdf|Preconditioner approximations for probabilistic graphical models]]. P. Ravikumar and J. Lafferty. In Advances in Neural Information Processing Systems (NIPS) 18, pages 1113-1120, 2006. |+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 ===== ===== Papers proposed =====
-|Paper | | 
-|Proposer | | 
-|Why? | | 
  
matrix_and_statistical_ai_reading_group.1266801816.txt.gz · Last modified: 2010/02/21 19:23 by 70.113.202.165