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
