Computational Optimal Transport: With Applications to Data Science by Gabriel Peyre, Marco Cuturi

Computational Optimal Transport: With Applications to Data Science

Foundations and Trends(r) in Machine Learning

Gabriel Peyre, Marco Cuturi

272 pages • first pub 2017 (editions)

nonfiction computer science informative lighthearted medium-paced
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Description

The goal of Optimal Transport (OT) is to define geometric tools that are useful to compare probability distributions. Their use dates back to 1781. Recent years have witnessed a new revolution in the spread of OT, thanks to the emergence of approx...

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