Optimal transport has a long history in mathematics and recently it advances in optimal transport theory have paved the way for its use in the ML/AI community. This tutorial aims to introduce pivotal computational, practical aspects of OT as well as applications of OT for unsupervised learning problems. In the tutorial, we will provide a selected, compact, and comprehensive background of optimal transport that is useful in machine learning research. Moreover, we will elaborate on the application of optimal
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