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.

Events

Conditional Sampling with Block-Triangular Transport Maps
Bamdad Hosseini (University of Washington)
Generative models such as Generative Adversarial Nets (GANs), Variational Autoencoders and Normalizing Flows have been very successful …

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

Professor

Econometrics, Nonparametric Statistics

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Maryam Fazel

Professor

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

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Nassif Ghoussoub

Professor

Partial Differential Equations

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Bamdad Hosseini

Assistant Professor

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

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Zaid Harchaoui

Associate Professor

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

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Young-Heon Kim

Professor

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

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Philip Loewen

Professor

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

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Soumik Pal

Professor

Optimal Transporation, Probability Theory

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Brendan Pass

Associate Professor

Optimal Transporation, Mathematical Economics, Mathematical Physics

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Gabriel Peyré

CNRS Senior Researcher (DR2)

Optimal transport, Imaging Sciences, Machine Learning

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Maurice Queyranne

Professor

Combinatorial Optimization, Production Planning and Scheduling, Inventory Management

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Geoffrey Schiebinger

Assistant Professor

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

Professor

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

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Lior Silberman

Associate Professor

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

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Stefan Steinerberger

Associate Professor

Analysis, PDEs, Spectral Theory, Harmonic Analysis

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Danica J. Sutherland

Assistant Professor

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

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Frank Wood

Associate Professor

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

Mailing List

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