Fast Generating A Large Number of Gumbel-Max Variables-Reference-Cited by-同舟云学术

Fast Generating A Large Number of Gumbel-Max Variables

Published:2020-04-19 Issue: Volume: Page:
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Container-title:Proceedings of The Web Conference 2020
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Author:

Qi Yiyan¹,Wang Pinghui²,Zhang Yuanming¹,Zhao Junzhou¹,Tian Guangjian³,Guan Xiaohong⁴

Affiliation:

1. MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China

2. Shenzhen Research Institute of Xi'an Jiaotong University, Shenzhen, China and MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China

3. Huawei Noah's Ark Lab, Hong Kong

4. Shenzhen Research Institute of Xi'an Jiaotong University, Shenzhen, China and MOE Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China and Department of Automation and NLIST Lab, Tsinghua University, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3366423.3380160

Reference68 articles.

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3. 2017. Libimseti.cz network dataset – KONECT. http://konect.uni-koblenz.de/networks/libimseti 2017. Libimseti.cz network dataset – KONECT. http://konect.uni-koblenz.de/networks/libimseti

4. 2017. MovieLens 10M network dataset – KONECT. http://konect.uni-koblenz.de/networks/movielens-10m_rating 2017. MovieLens 10M network dataset – KONECT. http://konect.uni-koblenz.de/networks/movielens-10m_rating

5. Yoram Bachrach Ely Porat and Jeffrey S Rosenschein. 2009. Sketching techniques for collaborative filtering. In IJCAI. Yoram Bachrach Ely Porat and Jeffrey S Rosenschein. 2009. Sketching techniques for collaborative filtering. In IJCAI.

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