There has recently been a surge of interest in algebraic methods in machine learning. In no particular order, this includes: new approaches to ranking problems; the budding field of algebraic statistics; and various applications of non-commutative Fourier transforms. The aim of the workshop is to bring together these distinct communities, explore connections, and showcase algebraic methods to the machine learning community at large. AML'08 is intended to be accessible to researchers with no prior exposure to abstract algebra.
| Organizers: |
Risi Kondor, Gatsby Unit, UCL Guy Lebanon, CSE, Georgia Tech Jason Morton, Math, Stanford |
| Contact: | amlworkshop08 at gmail dot com |
| Bulletin board: | [here] Please write to the above address if you wish to post something on this board. |
| Schedules: | Minisymposium and Workshop |