Non-archival conference paper
New Directions in Analyzing Text as Data (TADA), 2018
Assistant Professor of Stats & Data Science at UChicago
APA
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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
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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
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Schofield, Alexandra, et al. “Toward Practical and Locally Private Inference of Topic Models.” New Directions in Analyzing Text as Data (TADA), 2018.
BibTeX Click to copy
@conference{alexandra2018a,
title = {Toward practical and locally private inference of topic models},
year = {2018},
author = {Schofield, Alexandra and Schein, Aaron and Wu, Zhiwei Steven and Wallach, Hanna M.},
booktitle = {New Directions in Analyzing Text as Data (TADA)}
}