Geometric aspects of Learning Theory
by Professor Shahar Mendelson
Abstract: One of the main problems in Learning Theory is to estimate an unknown function by a function from a given family, using random data. It turns out that this question has very strong connections to Asymptotic Geometric Analysis, and in this talk I will present some of these connections.
As an example, I will present a solution to the well-known reconstruction problem (studied, for example, by Donoho, and Candes and Tao in recent years).
For More Information: Contact Quoqi Qian (email@example.com) or Paul Norbury (firstname.lastname@example.org)