Artificial Intelligence #optimal transport#machine learning
New Book on Optimal Transport Offers Machine Learning Practitioners a Unified Framework
A new book titled 'Optimal Transport for Machine Learners' presents a comprehensive overview of optimal transport techniques tailored for machine learning. It covers key concepts such as Kantorovich couplings, Wasserstein distances, Sinkhorn scaling, and gradient flows, providing a mathematical framework for comparing probability measures in ML applications.
Jun 16, 2026 1 source