Aaron Schein


Postdoctoral Fellow at Columbia University


Curriculum vitae


aaron.schein@columbia.edu

Data Science Institute


Columbia University


New York, NY



Publications



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Digital field experiments


Assessing the Effects of Friend-to-Friend Texting on Turnout in the 2018 US Midterm Elections


Aaron Schein, Keyon Vafa, Dhanya Sridhar, Victor Veitch, Jeffrey Quinn, David M. Blei, James Moffet, Donald P. Green


Proceedings of the Web Conference (WWW), 2021



Time-series & dynamical systems


Poisson-Randomized Gamma Dynamical Systems


Aaron Schein, Scott LInderman, Mingyuan Zhou, David M. Blei, Hanna M. Wallach


Advances in Neural Information Processing Systems (NeurIPS), 2019


Poisson–Gamma Dynamical Systems


Aaron Schein, Mingyuan Zhou, Hanna M. Wallach


Advances in Neural Information Processing Systems (NeurIPS), 2016



Networks & tensor decomposition


A network model for dynamic textual communications with application to government email corpora


Bomin Kim, Aaron Schein, Hanna M. Wallach, Bruce Desmarais


New Directions for Analyzing Text as Data (TADA), 2017


Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations


Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna M. Wallach


Proceedings of the International Conference on Machine Learning (ICML), 2016


Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts


Aaron Schein, John Paisley, David M. Blei, Hanna M. Wallach


Proceedings of the SIGKDD Conference of Knowledge Discovery and Data Mining (KDD), 2015


Modeling topic-partitioned assortativity and disassortativity in dyadic event data


Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna M. Wallach


Proceedings of the NeurIPS workshop on Networks in the Social and Information Sciences, 2015


Inferring polyadic events with Poisson tensor factorization


Aaron Schein, John Paisley, David M. Blei, Hanna M. Wallach


Proceedings of the NeurIPS Workshop on From Graphs to Rich Data, 2014


Inferring multilateral relations from dynamic pairwise interactions


Aaron Schein, Juston Moore, Hanna M. Wallach


Proceedings of the NeurIPS Workshop on Frontiers of Network Analysis, 2013



Differential privacy


Locally Private Bayesian Inference for Count Models


Aaron Schein, Zhiwei Steven Wu, Alexandra Schofield, Mingyuan Zhou, Hanna Wallach


Proceedings of the International Conference on Machine Learning (ICML), 2019


Toward practical and locally private inference of topic models


Alexandra Schofield, Aaron Schein, Zhiwei Steven Wu, Hanna M. Wallach


New Directions in Analyzing Text as Data (TADA), 2018


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


Alexandra Schofield, Aaron Schein, Zhiwei Steven Wu, Hanna Wallach


Proceedings of the NeurIPS Workshop on Privacy Preserving Machine Learning (PPML), 2018



Computational biology


Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data


Aaron Schein, Anjali Nagulpally, Hanna Wallach, Patrick Flaherty


Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), 2021


A Bayesian Nonparametric Model for Inferring Subclonal Populations from Structured DNA Sequencing Data


Shai He*, Aaron Schein*, Vishal Sarsani, Patrick Flaherty


Annals of Applied Statistics, vol. 15(2), 2021


Beta Tucker decomposition for DNA methylation data


Aaron Schein, Patrick Flaherty, Mingyuan Zhou, Daniel Sheldon, Hanna M. Wallach


Proceedings of the NeurIPS Workshop on Computational Biology, 2016