Statistical optimal transport
Sinho Chewi, Jonathan Niles-Weed, Philippe Rigollet
TL;DR
This paper introduces the field of statistical optimal transport, providing foundational concepts and insights based on lectures, aiming to bridge probability theory and optimal transport methods.
Contribution
It offers an accessible introduction to statistical optimal transport, highlighting its core principles and recent developments for researchers and students.
Findings
Provides foundational understanding of statistical optimal transport
Connects probability theory with optimal transport techniques
Serves as an educational resource for new researchers
Abstract
We present an introduction to the field of statistical optimal transport, based on lectures given at \'Ecole d'\'Et\'e de Probabilit\'es de Saint-Flour XLIX.
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