QUANTITATIVE UNIFORM STABILITY OF THE ITERATIVE PROPORTIONAL FITTING PROCEDURE

成果类型:
Article
署名作者:
Deligiannidis, George; de Bortoli, Valentin; Doucet, Arnaud
署名单位:
University of Oxford
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/23-AAP1970
发表日期:
2024
页码:
501-516
关键词:
optimal transport CONVERGENCE geometry
摘要:
We establish that the iterates of the iterative proportional fitting procedure, also known as Sinkhorn's algorithm and commonly used to solve entropy-regularised optimal transport problems, are stable w.r.t. perturbations of the marginals, uniformly in time. Our result is quantitative and stated in terms of the 1-Wasserstein metric. As a corollary we establish a quantitative stability result for Schrodinger bridges.
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