Computational Optimal Transport

Optimal transport has a broad scope of applications from biology, finance, to machine learning/AI, This workshop will bring researchers at the frontier of computational optimal transport. Major directions to be considered include stability of the optimal solutions, numerical methods for stochastic optimal transport, and geometry of the space of stochastic processes. Participants in our workshop will interact with those in “Foundations of Data Science and Machine Learning”, “Information-Based Complexity”, “Stochastic Computation”, “Continuous Optimization”, “Computational Dynamics”, “Inverse Problems”, among others.

Organizers

Speakers

Semi-plenary speakers

Invited speakers