Distribution Distance Minimization for Unsupervised User Identity Linkage-Reference-Cited by-同舟云学术

Distribution Distance Minimization for Unsupervised User Identity Linkage

Published:2018-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM International Conference on Information and Knowledge Management
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Author:

Li Chaozhuo¹,Wang Senzhang²,Yu Philip S.³,Zheng Lei⁴,Zhang Xiaoming¹,Li Zhoujun¹,Liang Yanbo⁵

Affiliation:

1. Beihang University, Beijing, China

2. Nanjing University of Aeronautics and Astronautics, Nanjing, China

3. Fudan University & University of Illinois at Chicago, Chicago, IL, USA

4. University of Illinois at Chicago, Chicago, IL, USA

5. Hortonworks, San Jose, CA, USA

Funder

Natural Science Foundation of China

National Key R&D Program of China

Beijing Advanced Innovation Center for Imaging Technology

Natural Science Foundation of Jiangsu Province

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3269206.3271675

Reference52 articles.

1. Marco Cuturi. 2013. Sinkhorn distances: Lightspeed computation of optimal transport. In NIPS. 2292--2300. Marco Cuturi. 2013. Sinkhorn distances: Lightspeed computation of optimal transport. In NIPS. 2292--2300.

2. Marco Cuturi and Arnaud Doucet. 2014. Fast computation ofWasserstein barycenters. In ICML. 685--693. Marco Cuturi and Arnaud Doucet. 2014. Fast computation ofWasserstein barycenters. In ICML. 685--693.

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