### Digital field experiments

Assessing the Effects of Friend-to-Friend Texting on Turnout in the 2020 U.S. Presidential Election

Aaron Schein, David M. Blei, Donald P. Green

Conference on Digital Experimentation (CODE@MIT), 2021

Assessing the Effects of Friend-to-Friend Texting on Turnout in the 2018 U.S. 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

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