Collision-based Dynamics for Multi-Marginal Optimal Transport
December 20, 2024 Β· Declared Dead Β· π arXiv.org
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Authors
Mohsen Sadr, Hossein Gorji
arXiv ID
2412.16385
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LG,
stat.CO
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Inspired by the Boltzmann kinetics, we propose a collision-based dynamics with a Monte Carlo solution algorithm that approximates the solution of the multi-marginal optimal transport problem via randomized pairwise swapping of sample indices. The computational complexity and memory usage of the proposed method scale linearly with the number of samples, making it highly attractive for high-dimensional settings. In several examples, we demonstrate the efficiency of the proposed method compared to the state-of-the-art methods.
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