Trading linearity for ellipticity: a nonsmooth approach to Einstein's theory of gravity and Lorentzian splitting theorems |
Jul 23, 2024 |
Rober McCann |
Density functional theory and multi-marginal optimal transport: Introduction |
Apr 4, 2024 |
Yair Shenfeld |
Gromov-Wasserstein Alignment: Statistical and Computational Advancements via Duality |
Feb 8, 2024 |
Ziv Goldfeld |
Unbalanced Optimal Transport: Convex Relaxation and Dynamic Perspectives |
Nov 30, 2023 |
Giuseppe Savare |
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 |