Aaron Schein


Assistant Professor of Stats & Data Science at UChicago


Curriculum vitae


[email protected]


Data Science Institute


University of Chicago


Chicago, IL



Modeling topic-partitioned assortativity and disassortativity in dyadic event data


Workshop paper


Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna M. Wallach
Proceedings of the NeurIPS workshop on Networks in the Social and Information Sciences, 2015

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APA
Schein, A., Zhou, M., Blei, D. M., & Wallach, H. M. (2015). Modeling topic-partitioned assortativity and disassortativity in dyadic event data. In Proceedings of the NeurIPS workshop on Networks in the Social and Information Sciences.

Chicago/Turabian
Schein, Aaron, Mingyuan Zhou, David M. Blei, and Hanna M. Wallach. “Modeling Topic-Partitioned Assortativity and Disassortativity in Dyadic Event Data.” In Proceedings of the NeurIPS Workshop on Networks in the Social and Information Sciences, 2015.

MLA
Schein, Aaron, et al. “Modeling Topic-Partitioned Assortativity and Disassortativity in Dyadic Event Data.” Proceedings of the NeurIPS Workshop on Networks in the Social and Information Sciences, 2015.


This won the Best Student Poster award ($400 prize)!

See the poster here.

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