Teaching: Seminar optimal transport

Overview

• 2 SWS, credits: 5
• See StudIP for details on time and place. Contact me for the access code on StudIP.
• The seminar implements the module Modul M.Inf.1244: Seminar on optimal transport. Other solutions (e.g. modules for math seminars) can be discussed and applied in appropriate cases.
• In the course of the seminar each participant will give a presentation of approx 45 mins.
• The seminar will be held in a hybrid format. Students can participate in person or online.
• Lanuguage: English

Target audience / what to expect?

• Presentation topics will cover advanced aspects of OT from various directions: numerical, applications in data analysis, analytical.
• Pre-existing knowlege on optimal transport is required. Prior participation in the computational optimal transport lecture is strongly encouraged but students may also have acquired the necessary background elsewhere.

Literature

• Gabriel Peyré, Marco Cuturi: Computational Optimal Transport, Foundations and Trends in Machine Learning, 2019, 11, 355-607 (available online) (introduction with a focus on computational aspects, avoiding mathematical details)
• Filippo Santambrogio: Optimal Transport for Applied Mathematicians, Birkhäuser Boston, 2015 (introduction aimed at applied mathematicians, harder for students)
• See also material for computational optimal transport lecture.