December 25, Tuesday
11:00 – 12:00
Geometric Aspects of Learning Theory
Computer Science seminar
Lecturer : Shahar Mendelson
Affiliation : Centre for Mathematics and Its Applications, The Australian National University, Canberra
Location : 202/37
Host : Dr. Aryeh Kontorovich
One of the main problems in Statistical Learning Theory is to estimate
an unknown function by a function from a given family, using random data.
Although seemingly unrelated, it turns out that this question has very
strong connections to problems in Asymptotic Geometric Analysis.
In this talk I will present some of these connections, and show why
some natural problems in Asymptotic Geometric Analysis (e.g.,
embedding theorems, estimates on the singular values of random
matrices, etc), are essential in the study of the basic problems in Learning Theory.