Aaron Schein

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 22

Top Topics

Prior Knowledge

Matrix Factorization

Dynamical Systems

Bayesian Inference

Top Venues

Publications

Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell
Context versus Prior Knowledge in Language Models. ACL (1) (2024)
Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell
Context versus Prior Knowledge in Language Models. CoRR (2024)
Evan Dong, Aaron Schein, Yixin Wang, Nikhil Garg
Addressing Discretization-Induced Bias in Demographic Prediction. CoRR (2024)
Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein
The Ordered Matrix Dirichlet for State-Space Models. AISTATS (2023)
Niklas Stoehr, Ryan Cotterell, Aaron Schein
Sentiment as an Ordinal Latent Variable. EACL (2023)
Sean O'Hagan, Aaron Schein
Measurement in the Age of LLMs: An Application to Ideological Scaling. CoRR (2023)
Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein
An Ordinal Latent Variable Model of Conflict Intensity. ACL (1) (2023)
Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein
The Ordered Matrix Dirichlet for Modeling Ordinal Dynamics. CoRR (2022)
Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein
An Ordinal Latent Variable Model of Conflict Intensity. CoRR (2022)
Aaron Schein, Keyon Vafa, Dhanya Sridhar, Victor Veitch, Jeffrey Quinn, James Moffet, David M. Blei, Donald P. Green
Assessing the Effects of Friend-to-Friend Texting onTurnout in the 2018 US Midterm Elections. WWW (2021)
Aaron Schein, Anjali Nagulpally, Hanna M. Wallach, Patrick Flaherty
Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data. CoRR (2021)
Aaron Schein, Anjali Nagulpally, Hanna M. Wallach, Patrick Flaherty
Doubly non-central beta matrix factorization for DNA methylation data. UAI (2021)
Aaron Schein, Scott W. Linderman, Mingyuan Zhou, David M. Blei, Hanna M. Wallach
Poisson-Randomized Gamma Dynamical Systems. NeurIPS (2019)
Aaron Schein, Zhiwei Steven Wu, Alexandra Schofield, Mingyuan Zhou, Hanna M. Wallach
Locally Private Bayesian Inference for Count Models. ICML (2019)
Aaron Schein, Scott W. Linderman, Mingyuan Zhou, David M. Blei, Hanna M. Wallach
Poisson-Randomized Gamma Dynamical Systems. CoRR (2019)
Aaron Schein, Zhiwei Steven Wu, Mingyuan Zhou, Hanna M. Wallach
Locally Private Bayesian Inference for Count Models. CoRR (2018)
Aaron Schein, Mingyuan Zhou, Hanna M. Wallach
Poisson-Gamma Dynamical Systems. CoRR (2017)
Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna M. Wallach
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations. ICML (2016)
Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna M. Wallach
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations. CoRR (2016)
Aaron Schein, Hanna M. Wallach, Mingyuan Zhou
Poisson-Gamma dynamical systems. NIPS (2016)
Aaron Schein, John W. Paisley, David M. Blei, Hanna M. Wallach
Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts. CoRR (2015)
Aaron Schein, John W. Paisley, David M. Blei, Hanna M. Wallach
Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts. KDD (2015)
Aaron Schein, Juston Moore, Hanna M. Wallach
Inferring Multilateral Relations from Dynamic Pairwise Interactions. CoRR (2013)
Keith J. Miller, Elizabeth Schroeder Richerson, Sarah McLeod, James Finley, Aaron Schein
International Multicultural Name Matching Competition: Design, Execution, Results, and Lessons Learned. LREC (2012)