Pacific Interdisciplinary Hub on Optimal Transport

A Collaborative Research Group (CRG) typically consists of researchers with a common research interest and with a common desire to collaboratively develop some aspects of their research programs. The groups may already exist, organizing joint seminars and workshops, making joint PDF appointments, or developing joint graduate training programs, but will have the potential to do much more, given resources and organizational structure through PIMS.
Every year, the PIMS Scientific Review Panel (SRP) will select, on a competitive basis, from the proposals, several areas of research. CRGs are generally developed with the advice of PIMS starting with a letter of intent accepted by the SRP. More details are available at http://pims.math.ca/scientific/call-proposals. Proposals can vary greatly according to the needs of the particular group and may combine a number of existing PIMS activities.

Further information on PIMS CRG activities can be found on the PIMS website (CRG).

Title Date Speaker
Shifted divergences for sampling, privacy, and beyond Oct 12, 2023 Jason Altschuler
Understanding adversarial robustness via optimal transport. Sep 28, 2023 Jakwang Kim
Free boundary problems in optimal transportation Aug 8, 2023 Jiakun Liu
A Nonsmooth Approach to Einstein's Theory of Gravity Aug 1, 2023 Robert McCann
Linearised Optimal Transport Distances May 4, 2023 Matthew Thorpe
Multivariate Symmetry: Distribution-Free Testing via Optimal Transport Apr 13, 2023 Bodhisattva Sen
Kantorovich operators and their ergodic properties Mar 9, 2023 Nassif Ghoussoub
Adversarial training through the lens of optimal transport Feb 23, 2023 Nicolas Garcia Trillos
Bregman divergence regularization of optimal transport problems on a finite set Jan 26, 2023 Asuka Takatsu
Applications of optimal transportation in causal inference Nov 10, 2022 Florian Gunsilius
Learning Tasks in the Wasserstein Space Oct 27, 2022 Caroline Moosmueller
Effect of Dependence on the Convergence of Empirical Wasserstein Distance Sep 29, 2022 Nabarun Deb
Recent advances in dynamical optimal transport: Lecture 3 Jul 1, 2022 Jan Maas
Recent advances in dynamical optimal transport: Lecture 2 Jun 30, 2022 Jan Maas
Optimal Transport for Machine Learning: Lecture 3 Jun 30, 2022 Gabriel Peyré
Gross substitutes, optimal transport and matching models: Lecture 3 Jun 29, 2022 Alfred Galichon
Recent advances in dynamical optimal transport: Lecture 1 Jun 29, 2022 Jan Maas
Gross substitutes, optimal transport and matching models: Lecture 2 Jun 28, 2022 Alfred Galichon
Optimal Transport for Machine Learning: Lecture 2 Jun 28, 2022 Gabriel Peyré
Optimal Transport for Machine Learning: Lecture 1 Jun 27, 2022 Gabriel Peyré
Gross substitutes, optimal transport and matching models: Lecture 1 Jun 27, 2022 Alfred Galichon
Recent results in interface motions in the framework of optimal transport: Lecture 3 Jun 24, 2022 Inwon Kim
A variational approach to the regularity theory for optimal transportation: Lecture 3 Jun 24, 2022 Felix Otto
A variational approach to the regularity theory for optimal transportation: Lecture 2 Jun 23, 2022 Felix Otto
A variational approach to the regularity theory for optimal transportation: Lecture 1 Jun 22, 2022 Felix Otto
Recent results in interface motions in the framework of optimal transport: Lecture 2 Jun 22, 2022 Inwon Kim
Recent results in interface motions in the framework of optimal transport: Lecture 1 Jun 21, 2022 Inwon Kim
Towards a Mathematical Theory of Developmental Biology: Lecture 1 Jun 20, 2022 Geoff Schiebinger
OT techniques in data driven methodology: theory and practice from mathematical finance and statistics Apr 28, 2022 Jan Obloj
Wasserstein gradient flows for machine learning Mar 17, 2022 Anna Korba
Optimal transport theory in incomplete econometric models Feb 24, 2022 Marc Henry
A survey on weak optimal transport Jan 27, 2022 Nathael Gozlan
Remarks on multi-marginals entropic optimal transport and Sinkhorn algorithm May 6, 2021 Guillaume Carlier
Searching for the most likely evolution Mar 25, 2021 Giovanni Conforti
Stochastic Optimal Transport, Control Theory, and PDEs Feb 25, 2021 Aaron Palmer
Vector Copulas and Vector Sklar Theorem Jan 30, 2021 Yanqin Fan
Optimal Coffee shops, Numerical Integration and Kantorovich-Rubinstein duality Jan 30, 2021 Stefan Steinerberger
Deep kernel-based distances between distributions Jan 30, 2021 Danica Sutherland
Kac goes to work: Stochastic processes as probes of the architecture of plant root systems Jan 30, 2021 David Schneider
Bandit learning of Nash equilibria in monotone games Jan 29, 2021 Maryam Kamgarpour
Scaling Optimal Transport for High dimensional Learning Jan 29, 2021 Gabirel Peyré
Initial value problems viewed as generalized optimal transport problems with matrix-valued density fields Jan 29, 2021 Yann Brenier