Optimizing distribution alignment in high dimensions.
Statistical optimal transport develops mathematical methods for finding the most efficient ways to map one probability distribution to another. This field combines classical transport theory with modern statistical and computational approaches to solve complex distribution matching problems, particularly in high-dimensional settings.
Faculty exploring statistical optimal transport.
Florentina Bunea
Professor of Statistics and Data Science
