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Shifted divergences provide a principled way of making information theoretic divergences (e.g. KL) geometrically aware via optimal …

Deep learning-based approaches have succeeded surprisingly in various fields of sciences. In particular, one of the first and most …

In this talk, we introduce some recent regularity results of free boundary in optimal transportation. Particularly for higher order …

Please see the event website for more details or to register. Confirmed Speakers Adrien Blanchet (Toulouse School of Economics, Mathematics) Jose Blanchet (Stanford University, Management Science and Engineering) Xiaohong Chen (Yale University, Economics) Victor Chernozhukov (Massachusetts Institute of Technology, Economics) Tim Christensen (University College London, Economics) Nabarun Deb (University of British Columbia/University of Chicago-Booth, Statistics) Xavier d’Haultfoeuille (ENSAE, Economics) Rui Gao (University of Texas-Austin, Mathematics) Florian Gunsilius (University of Michigan, Economics) Tetsuya Kaji (University of Chicago-Booth, Econometrics/Statistics) Francis Kramarz (ENSAE, Economics) Lixiong Li (Johns Hopkins University, Economics) Jean-Michel Loubes (Universite de Toulouse, Mathematics) Marcel Nutz (Columbia University, Statistics) Guillaume Pouliot (University of Chicago, Economics) Bernard Salanie (Columbia University, Economics) Matt Shum (California Institute of Technology, Economics) Xiaoting Sun (Simon Fraser University, Economics) Ruodu Wang (University of Waterloo, Statistics) Organizing Committee Yanqin Fan (University of Washington, Department of Economics) Alfred Galichon (New York University, Department of Economics) Marc Henry (Pennsylvania State University, Department of Economics) Brendan Pass (University of Alberta, Department of Mathematical and Statistical Sciences) Soumik Pal (University of Washington, Department of Mathematics)

We prove the agent’s choice will be a locally Lipschitz function of their type in the subclass of principal-agent problems considered …

KI retreats are local one day conferences where KI members and their research groups get together to socialize and discuss potential collaborations.

Optimal transport is a powerful tool for measuring the distances between signals and images. A common choice is to use the Wasserstein …