Aaron Schein

According to our database, Aaron Schein authored at least 16 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The AL𝓁₀CORE Tensor Decomposition for Sparse Count Data.

John Hood, Aaron Schein

CoRR, 2024

2023

Measurement in the Age of LLMs: An Application to Ideological Scaling.

Sean O'Hagan, Aaron Schein

CoRR, 2023

Sentiment as an Ordinal Latent Variable.

Niklas Stoehr, Ryan Cotterell, Aaron Schein

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

The Ordered Matrix Dirichlet for State-Space Models.

Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

An Ordinal Latent Variable Model of Conflict Intensity.

Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell, Aaron Schein

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

The Ordered Matrix Dirichlet for Modeling Ordinal Dynamics.

Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell, Aaron Schein

CoRR, 2022

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

Proceedings of the WWW '21: The Web Conference 2021, 2021

Doubly non-central beta matrix factorization for DNA methylation data.

Aaron Schein, Anjali Nagulpally, Hanna M. Wallach, Patrick Flaherty

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2019

Poisson-Randomized Gamma Dynamical Systems.

Aaron Schein, Scott W. Linderman, Mingyuan Zhou, David M. Blei, Hanna M. Wallach

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Locally Private Bayesian Inference for Count Models.

Aaron Schein, Zhiwei Steven Wu, Alexandra Schofield, Mingyuan Zhou, Hanna M. Wallach

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Locally Private Bayesian Inference for Count Models.

Aaron Schein, Zhiwei Steven Wu, Mingyuan Zhou, Hanna M. Wallach

CoRR, 2018

2016

Poisson-Gamma dynamical systems.

Aaron Schein, Hanna M. Wallach, Mingyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations.

Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna M. Wallach

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts.

Aaron Schein, John W. Paisley, David M. Blei, Hanna M. Wallach

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2013

Inferring Multilateral Relations from Dynamic Pairwise Interactions.

Aaron Schein, Juston Moore, Hanna M. Wallach

CoRR, 2013

2012

International Multicultural Name Matching Competition: Design, Execution, Results, and Lessons Learned.

Keith J. Miller, Elizabeth Schroeder Richerson, Sarah McLeod, James Finley, Aaron Schein

Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012