Aaron Schein

Assistant Professor of Stats & Data Science at UChicago


Curriculum vitae


schein@uchicago.edu


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   Click to copy
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   Click to copy
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   Click to copy
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.


BibTeX   Click to copy

@inproceedings{aaron2015a,
  title = {Modeling topic-partitioned assortativity and disassortativity in dyadic event data},
  year = {2015},
  author = {Schein, Aaron and Zhou, Mingyuan and Blei, David M. and Wallach, Hanna M.},
  booktitle = {Proceedings of the NeurIPS workshop on Networks in the Social and Information Sciences}
}

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

See the poster here.

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