EP-IT Data science seminars

PHYSTAT seminar: Optimal Transport With Applications to Background Modeling

by Larry Wasserman (Carnegie Mellon University)




I will give an introduction to the theory of optimal transport which
is a method for constructing mappings between distributions.  Optimal
transport has become a popular tool in statistics and machine learning
and has many applications. After introducing the basic ideas I will
discuss an application to estimating the background distribution for
testing for di-Higgs events.

This is joint work with: Tudor Manole, Patrick Bryant,
John Alison and Mikael Kuusela.

The seminar will be done remote only.

Password: 152560

Organized by

M. Girone, M. Elsing, L. Moneta, M. Pierini
Event co-organised with the PHYSTAT Committee