PIMS- IFDS- NSF Summer School on Optimal Transport
Summer School in Optimal Transport
The common theme of this summer school is the mathematics of Monge-Kantorovich optimal transport (OT). The stunning mathematical development of OT has recently permeated into several fields of applications. Our speakers, chosen from the fields of analysis, biology, data science, economics, and probability, are leaders in their respective fields whose work intimately involves OT. Our goal is to expose talented students and junior researchers to the exciting and manifold research opportunities arising from OT and its applications, through attending lectures and interacting with the speakers as well as their peer participants. We strongly encourage participation by a diverse audience and welcome attendees from traditionally underrepresented socio-economic and cultural groups.
Lectures
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Alfred Galichon: Gross substitutes, optimal transport and matching models
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Inwon Kim: Recent results in interface motions in the framework of optimal transport
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Jan Maas: Recent advances in dynamical optimal transport
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Felix Otto: A variational approach to the regularity theory for optimal transport
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Gabriel Peyré: Optimal Transport for Machine Learning
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Geoff Schiebinger: Towards a Mathematical Theory of Development
- Lecture 1
- Lecture 2
- Lecture 3
