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The sign test (Arbuthnott, 1710) and the Wilcoxon signed-rank test (Wilcoxon, 1945) are among the first examples of a nonparametric …

Our introduction of the notion of a non-linear Kantorovich operator was motivated by the celebrated duality in the mass transport …

Modern machine learning methods, in particular deep learning approaches, have enjoyed unparalleled success in a variety of challenging …

In optimal transport problems on a finite set, one successful approach to reducing its computational burden is the regularization by …

Optimal transportation, at its core, is a powerful framework for obtaining structured yet general couplings between general probability …

Detecting differences and building classifiers between distributions, given only finite samples, are important tasks in a number of …

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.

As the school is planned at the beginning of the summer season in Seattle, the participants can also enjoy the natural beauty of the Pacific Northwest and feel the energy of one of leading tech metropolises in the United States and around the world.

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.

As the school is planned at the beginning of the summer season in Seattle, the participants can also enjoy the natural beauty of the Pacific Northwest and feel the energy of one of leading tech metropolises in the United States and around the world.