Aaron Schein


Postdoctoral Fellow at Columbia University


Curriculum vitae


aaron.schein@columbia.edu

Data Science Institute


Columbia University


New York, NY



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

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.