Workshop: Algebraic Statistics, Machine Learning and Lattice Spin Models

March 16 – 19, 2008

Banbury Conference Centre, Cold Spring Harbor Laboratory
New York

Recently, there have been exciting advances in the application of ideas and algorithms from commutative algebra and group theory to problems of data analysis and statistics, particularly in computational genomics. However, these ideas are not yet widely known to other communities of theorists who may benefit from these developments. The goal of this workshop is to bring together mathematicians working in algebraic statistics, with researchers in machine learning and statistical physics, for mutual pedagogy and for exploration of new research avenues opened up by the application of algebraic techniques to data.

Schedule

Sunday, March 16

6:00 PM Reception
7:00 PM Dinner

Monday, March 17

10:00 Pablo Parillo, Title (TBA)
11:00-11:30 Coffee
11:30-12:00 Raul Rabadan, Viruses
12:00-2:00 Lunch
2:00-3:30 Pachter/Sullivant, Algebraic Statistics Tutorial
3:30-4:00 Tea
4:00-5:30 Pachter/Sullivant, Algebraic Statistics Tutorial
5:30-7:00 Break
7:00 Dinner

Tuesday, March 18

11:00-12:00 Bud Mishra, 0-1 Phenomena in Genome Sequencing
12:30-2:00 Lunch
2:00-3:00 Gunnar Carlson, Algebraic Topology for Data Analysis
3:00-3:30 Tea
3:30-4:20 Clement Sire, Poker and statistical Physics
4:20-5:00 Discussion
5:00-7:00 Break
7:00 Dinner

Wednesday, March 19

Morning Open for Discussions
12:00-2:00 Lunch

Organizers

Participants