Aaron Schein


Assistant Professor of Stats & Data Science at UChicago


Curriculum vitae


[email protected]


Data Science Institute


University of Chicago


Chicago, IL



A Variational Inference Approach for Locally Private Inference of Poisson Factorization Models


Workshop paper


Alexandra Schofield, Aaron Schein, Zhiwei Steven Wu, Hanna Wallach
Proceedings of the NeurIPS Workshop on Privacy Preserving Machine Learning (PPML), 2018

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APA
Schofield, A., Schein, A., Wu, Z. S., & Wallach, H. (2018). A Variational Inference Approach for Locally Private Inference of Poisson Factorization Models. In Proceedings of the NeurIPS Workshop on Privacy Preserving Machine Learning (PPML).

Chicago/Turabian
Schofield, Alexandra, Aaron Schein, Zhiwei Steven Wu, and Hanna Wallach. “A Variational Inference Approach for Locally Private Inference of Poisson Factorization Models.” In Proceedings of the NeurIPS Workshop on Privacy Preserving Machine Learning (PPML), 2018.

MLA
Schofield, Alexandra, et al. “A Variational Inference Approach for Locally Private Inference of Poisson Factorization Models.” Proceedings of the NeurIPS Workshop on Privacy Preserving Machine Learning (PPML), 2018.


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