The Kantorovich Initiative is dedicated towards research and dissemination of modern mathematics of optimal transport towards a wide audience of researchers, students, industry, policy makers and the general public.

The group was convened by Young-Heon Kim (University of British Columbia), Soumik Pal (University of Washington) and Brendan Pass (University of Alberta), with support from the Pacific Institute for the Mathematical Sciences.

Projects

OT + X

Online courses in Optimal Transport + Economics, Fall 2020

Kantorovich Initiative Members

The current activities of KI are being supported by grants from the Pacific Institute for the Mathematical Sciences and the National Science Foundation

Affiliated Faculty

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Yanqin Fan

Department of Economics, University of Washington

Econometrics, Nonparametric Statistics

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Maryam Fazel

Department of Electrical and Computer Engineering, University of Washington

Optimization Theory and Algorithms, Data Science and Machine Learning, Control Theory

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Nassif Ghoussoub

Department of Mathematics, University of British Columbia

Partial Differential Equations

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Bamdad Hosseini

Department of Mathematics, University of Washington

Probability, Statistics, Applied Mathematics, Data Science, Uncertainty Quantification

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Zaid Harchaoui

University of Washington

eScience Institute

Robust Statistical Machine Learning, Learning Feature Representations of Complex Data, Computationally-Efficient Optimization Algorithms for Learning and Inference

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Jingwei Hu

Department of Applied Mathematics, University of Washington

Kinetic Theory, Multiscale Modeling, Numerical Analysis, Partial Differential Equations, Scientific Computing

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Young-Heon Kim

Department of Mathematics, University of British Columbia

Optimal Transporation, Partial Differential Equations, Calculus of Variations, Geometry

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Philip Loewen

Department of Mathematics, University of British Columbia

Mathematical optimization, Calculus of Variations, Optimal Control, Optimization, Machine Learning

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Soumik Pal

Department of Mathematics, University of Washington

Optimal Transporation, Probability Theory

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Brendan Pass

Department of Mathematical and Statistical Sciences, University of Alberta

Optimal Transporation, Mathematical Economics, Mathematical Physics

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Gabriel Peyré

DMA, École Normale Supérieure.

Optimal transport, Imaging Sciences, Machine Learning

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Maurice Queyranne

Sauder School of Business, University of British Columbia

Combinatorial Optimization, Production Planning and Scheduling, Inventory Management

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Geoffrey Schiebinger

Department of Mathematics, University of British Columbia

Interplay between Theory and Experiment in Natural Science, Time-courses of high dimensional gene expression data, Probability, Statistics, Optimization

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Dave Schneider

School of Environment and Sustainability, University of Saskatchewan

Global Institute for Food Security

Biological sequence analysis, Systems Biology, Functional Genomics, Comparative Genomics

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Lior Silberman

Department of Mathematics, University of British Columbia

Number Theory (automorphic forms), Topology, Group theory, Metric geometry.

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Stefan Steinerberger

Department of Mathematics, University of Washington

Analysis, PDEs, Spectral Theory, Harmonic Analysis

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Danica J. Sutherland

Department of Computer Science, University of British Columbia

Learning and testing on sets and distributions, Learning “deep kernels”, Statistical Theory

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Frank Wood

Department of Computer Science, University of British Columbia

Deep generative modeling, Amortized Inference, Probabilistic Programming, Reinforcement Learning, Applied Probabilistic Machine Learning

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