Aaron Schein


Postdoctoral Fellow at Columbia University


Curriculum vitae


aaron.schein@columbia.edu

Data Science Institute


Columbia University


New York, NY



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


Cite

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.