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Deriving the Gradients of Some Popular Optimal Transport Algorithms

Deriving the Gradients of Some Popular Optimal Transport Algorithms

来源:Arxiv_logoArxiv
英文摘要

In this note, I review entropy-regularized Monge-Kantorovich problem in Optimal Transport, and derive the gradients of several popular algorithms popular in Computational Optimal Transport, including the Sinkhorn algorithms, Wasserstein Barycenter algorithms, and the Wasserstein Dictionary Learning algorithms.

Fangzhou Xie

计算技术、计算机技术

Fangzhou Xie.Deriving the Gradients of Some Popular Optimal Transport Algorithms[EB/OL].(2025-04-11)[2025-05-25].https://arxiv.org/abs/2504.08722.点此复制

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