Aaron Schein

Aaron Schein

Assistant Professor of Stats & Data Science at UChicago

Curriculum vitae

[email protected]

Data Science Institute

University of Chicago

Chicago, IL

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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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