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eNauka >  Results >  Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
Title: Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity
Authors: Kostic Vladimir  ; Salzo Saverio; Pontil Massimiliano
Issue Date: 2022
Publication: Proceedings of Machine Learning Research, International Conference on Machine Learning, Baltimore, USA, 2022, 17-23 July 2022, No 39
Type: Conference Paper
Collation: str. 11529-11558
WoS-ID: 000900064901028
URI: https://cris.uns.ac.rs/en/scientific-results/proceedings-publication/17000
https://enauka.gov.rs/handle/123456789/596728
https://www.cris.uns.ac.rs/record.jsf?recordId=127217&source=eNauka&language=en
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