Deriving the Gradients of Some Popular Optimal Transport Algorithms
Deriving the Gradients of Some Popular Optimal Transport Algorithms
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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