Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification-Reference-Cited by-同舟云学术

Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification

Published:2023-02-15 Issue:4 Volume:32 Page:1512-1523
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Li Mengyu¹^ORCID,Yu Jun²^ORCID,Xu Hongteng³^ORCID,Meng Cheng⁴^ORCID

Affiliation:

1. Institute of Statistics and Big Data, Renmin University of China, Beijing, China

2. School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, China

3. Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China

4. Center for Applied Statistics, Institute of Statistics and Big Data, Renmin University of China, Beijing, China

Funder

Outstanding Innovative Talents Cultivation

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2023.2165500

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5. Sliced and Radon Wasserstein Barycenters of Measures