International Multicultural Name Matching Competition: Design, Execution, Results, and Lessons Learned. - Keith J. Miller; Elizabeth Schroeder Richerson; Sarah McLeod 001; James Finley; Aaron Schein (LREC, 2012)

Inferring Multilateral Relations from Dynamic Pairwise Interactions. - Aaron Schein; Juston Moore; Hanna M. Wallach (CoRR, 2013)

Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts. - Aaron Schein; John W. Paisley; David M. Blei; Hanna M. Wallach (KDD, 2015)

Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations. - Aaron Schein; Mingyuan Zhou; David M. Blei; Hanna M. Wallach (ICML, 2016)

Poisson-Gamma dynamical systems. - Aaron Schein; Hanna M. Wallach; Mingyuan Zhou (NIPS, 2016)

Locally Private Bayesian Inference for Count Models. - Aaron Schein; Zhiwei Steven Wu; Mingyuan Zhou; Hanna M. Wallach (CoRR, 2018)

Locally Private Bayesian Inference for Count Models. - Aaron Schein; Zhiwei Steven Wu; Alexandra Schofield; Mingyuan Zhou; Hanna M. Wallach (ICML, 2019)

Poisson-Randomized Gamma Dynamical Systems. - Aaron Schein; Scott W. Linderman; Mingyuan Zhou; David M. Blei; Hanna M. Wallach (NeurIPS, 2019)

Doubly non-central beta matrix factorization for DNA methylation data. - Aaron Schein; Anjali Nagulpally; Hanna M. Wallach; Patrick Flaherty (UAI, 2021)

Assessing the Effects of Friend-to-Friend Texting onTurnout in the 2018 US Midterm Elections. - Aaron Schein; Keyon Vafa; Dhanya Sridhar; Victor Veitch; Jeffrey Quinn; James Moffet; David M. Blei; Donald P. Green (WWW, 2021)

The Ordered Matrix Dirichlet for Modeling Ordinal Dynamics. - Niklas Stoehr; Benjamin J. Radford; Ryan Cotterell; Aaron Schein (CoRR, 2022)

An Ordinal Latent Variable Model of Conflict Intensity. - Niklas Stoehr; Lucas Torroba Hennigen; Josef Valvoda; Robert West 001; Ryan Cotterell; Aaron Schein (ACL (1), 2023)

The Ordered Matrix Dirichlet for State-Space Models. - Niklas Stoehr; Benjamin J. Radford; Ryan Cotterell; Aaron Schein (AISTATS, 2023)

Sentiment as an Ordinal Latent Variable. - Niklas Stoehr; Ryan Cotterell; Aaron Schein (EACL, 2023)

Measurement in the Age of LLMs: An Application to Ideological Scaling. - Sean O'Hagan; Aaron Schein (CoRR, 2023)

Context versus Prior Knowledge in Language Models. - Kevin Du; Vésteinn Snæbjarnarson; Niklas Stoehr; Jennifer C. White; Aaron Schein; Ryan Cotterell (ACL (1), 2024)

Activation Scaling for Steering and Interpreting Language Models. - Niklas Stoehr; Kevin Du; Vésteinn Snæbjarnarson; Robert West 001; Ryan Cotterell; Aaron Schein (EMNLP (Findings), 2024)

Addressing Discretization-Induced Bias in Demographic Prediction. - Evan Dong; Aaron Schein; Yixin Wang; Nikhil Garg (CoRR, 2024)

Doubly Non-Central Beta Matrix Factorization for Stable Dimensionality Reduction of Bounded Support Matrix Data. - Anjali Nagulpally; Patrick Flaherty; Aaron Schein (CoRR, 2024)

Linear Representations of Political Perspective Emerge in Large Language Models. - Junsol Kim; James Evans; Aaron Schein (ICLR, 2025)

Layers at Similar Depths Generate Similar Activations Across LLM Architectures. - Christopher Wolfram; Aaron Schein (CoRR, 2025)