Aaron Schein

Assistant Professor of Stats & Data Science at UChicago


Curriculum vitae


schein@uchicago.edu


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   Click to copy
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   Click to copy
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   Click to copy
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)}
}


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