[Colloquium] TTIC Colloquium: Shaowei Lin, UC Berkeley

[Liv Leader]

When:     Monday, November 7 @ 11 a.m.

Where:   TTIC Conference Room #526, 6045 S. Kenwood Avenue, 5th Floor

Who:      Shaowei Lin, UC Berkeley

Title: What is Singular Learning Theory?

Abstract: Singular models occur frequently in machine learning and
computational biology. In this talk, we give a basic introduction to
Sumio Watanabe's Singular Learning Theory, as outlined in his book
"Algebraic Geometry and Statistical Learning Theory". Watanabe's key
insight to studying singular models was to use a deep result in
algebraic geometry known as Hironaka's Resolution of Singularities.
This result allows him to reparametrize the model in a normal form so
that central limit theorems can be applied. In the second half of the
talk, we discuss new algebraic methods where we define fiber ideals
for discrete/Gaussian models which are singular. We show how to
approximate marginal likelihood integrals for these models using
Newton polyhedra.

http://math.berkeley.edu/~shaowei/

Host: Nati Srebro, nati at ttic.edu
-- 
Liv Leader
Human Resources Coordinator

Toyota Technological Institute Chicago
6045 S Kenwood Ave
Chicago, IL 60637
Phone- (773) 702-5033
Fax-     (773) 834-9881
Email-  lleader at ttic.edu
Web-   www.ttic.edu