Aaron Schein


Assistant Professor of Stats & Data Science at UChicago


Curriculum vitae


[email protected]


Data Science Institute


University of Chicago


Chicago, IL



Toward practical and locally private inference of topic models


Non-archival conference paper


Alexandra Schofield, Aaron Schein, Zhiwei Steven Wu, Hanna M. Wallach
New Directions in Analyzing Text as Data (TADA), 2018

Cite

Cite

APA
Schofield, A., Schein, A., Wu, Z. S., & Wallach, H. M. (2018). Toward practical and locally private inference of topic models. In New Directions in Analyzing Text as Data (TADA).

Chicago/Turabian
Schofield, Alexandra, Aaron Schein, Zhiwei Steven Wu, and Hanna M. Wallach. “Toward Practical and Locally Private Inference of Topic Models.” In New Directions in Analyzing Text as Data (TADA), 2018.

MLA
Schofield, Alexandra, et al. “Toward Practical and Locally Private Inference of Topic Models.” New Directions in Analyzing Text as Data (TADA), 2018.


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