Lecture Notes in Mathematics: École d'Été de Probabilités de Saint-Flour XLIX – 2019

Chewi, Sinho; Niles-Weed, Jonathan; Rigollet, Philippe

This monograph aims to offer a concise introduction to optimal transport, quickly transitioning to its applications in statistics and machine learning. It is primarily tailored for students and researchers in these fields, yet it remains accessible to a broader audience of applied mathematicians and computer scientists. Each chapter is complemented with exercises for the reader to test their understanding. As such, this monograph is suitable for a graduate course on the topic of statistical optimal transport.

Details

Published by: Springer

Publication Date: 2025-04-11

Format: Paperback

ISBN-13: 9783031851599

DOI: 10.1007/978-3-031-85160-5

Dimensions: 235cm x155cm

Pages: 260