Publications

2024

• The ALL0CORE Tensor Decomposition for Sparse Count Data. John Hood and Aaron Schein. AISTATS, 2024.
  [📄 PDF | 💻 Code]
  
  

• Poisson-Randomized Gamma Dynamical Systems. Aaron Schein, Scott W. Linderman, Mingyuan Zhou, David M. Blei and Hanna Wallach. Neural Information Processing Systems (NeurIPS), 2019.
  [📄 PDF | 💻 Code]
  
  

• Poisson--Gamma Dynamical Systems. Aaron Schein, Mingyuan Zhou and Hanna Wallach. Neural Information Processing Systems (NeurIPS), 2016.
  [📄 PDF | 💻 Code | ▶️ NeurIPS oral] | 📜 Slides]
  
  

• Bayesian Poisson Tucker decomposition for Learning the Structure of International Relations. Aaron Schein, Mingyuan Zhou and Hanna Wallach. International Conference on Machine Learning (ICML), 2016.
  [📄 PDF | 💻 Code | 📜 Slides | 🖼️ Poster]
  
  

• Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts. Aaron Schein, John Paisley, David M. Blei and Hanna Wallach. Conference of Knowledge Discovery and Data Mining (KDD), 2015.
  [📄 PDF | 💻 Code | ▶️ Talk at KDD | 📜 Slides]
  
  

Field experiments and voter turnout

• Do Billboard Advertisements Increase Voter Turnout? A Large-Scale Field Experiment? Donald P. Green, Lionel Ong, Kylan Rutherford and Aaron Schein. Quarterly Journal of Political Science (QJPS), 2024.
  [📄 PDF]
  
  

• Assessing the Effects of Friend-to-Friend Texting on Turnout in the 2020 US Presidential Election. Aaron Schein, David M. Blei and Donald P. Green. Conference on Digital Experimentation (CODE), 2021.
  [📄 PDF | ▶️ Talk at Open States Summit 2023]
  
  

• 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, James Moffet, David M. Blei and Donald P. Green. The Web Conference (WWW), 2021.
  [📄 PDF | 💻 Replication material | ▶️ WWW talk | ▶️ IC2S2 talk]