Aaron Schein

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Citations	446	355
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Hanna WallachPartner Research Manager, Microsoft ResearchVerified email at dirichlet.net
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Mingyuan ZhouAssociate Professor, University of Texas at AustinVerified email at mccombs.utexas.edu
Niklas StoehrInstitute for Machine Learning, ETH ZurichVerified email at inf.ethz.ch
John PaisleyColumbia UniversityVerified email at columbia.edu
Ryan CotterellETH ZürichVerified email at inf.ethz.ch
Zhiwei Steven WuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Alexandra SchofieldAssistant Professor, Harvey Mudd CollegeVerified email at cs.hmc.edu
Benjamin J RadfordProfessor of political science, UNC CharlotteVerified email at uncc.edu
Scott LindermanStanford UniversityVerified email at stanford.edu
Donald P GreenJ.W. Burgess Professor of Political Science, Columbia UniversityVerified email at columbia.edu
Keyon VafaHarvard UniversityVerified email at g.harvard.edu
Victor VeitchUniversity of Chicago, GoogleVerified email at uchicago.edu
Dhanya SridharUniversity of Montreal, Mila-Quebec AI InstituteVerified email at mila.quebec
Bruce A. DesmaraisProfessor, Department of Political Science, Penn State UniversityVerified email at psu.edu
Patrick FlahertyUniversity of Massachusetts, AmherstVerified email at math.umass.edu
John HoodDepartment of Statistics at the University of ChicagoVerified email at uchicago.edu
Yaoyao DaiAssistant Professor, University of North Carolina CharlotteVerified email at uncc.edu
Hanif Ullah SajidPublic Policy, UNC CharlotteVerified email at uncc.edu
Josef ValvodaUniversity of CambridgeVerified email at cam.ac.uk

Aaron Schein

Assistant Professor of Statistics & Data Science at the University of Chicago

Verified email at uchicago.edu - Homepage

Bayesian statistics machine learning tensor factorization computational social science political science


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Bayesian Poisson tensor factorization for inferring multilateral relations from sparse dyadic event counts A Schein, J Paisley, DM Blei, H Wallach Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	126*	2015
Bayesian Poisson Tucker decomposition for learning the structure of international relations A Schein, M Zhou, DM Blei, H Wallach Proceedings of the 33rd International Conference on International Conference …, 2016	96	2016
Poisson--Gamma Dynamical Systems A Schein, M Zhou, H Wallach Advances in Neural Information Processing Systems 29, 2016	60	2016
Locally private Bayesian inference for count models A Schein, ZS Wu, A Schofield, M Zhou, H Wallach Proceedings of the 36th International Conference on International Conference …, 2019	38	2019
Poisson-randomized gamma dynamical systems A Schein, S Linderman, M Zhou, D Blei, H Wallach Advances in Neural Information Processing Systems 32, 2019	28	2019
Inferring polyadic events with Poisson tensor factorization A Schein, J Paisley, DM Blei, H Wallach Proceedings of the NIPS 2014 Workshop on” Networks: From Graphs to Rich Data, 2014	15	2014
Assessing the Effects of Friend-to-Friend Texting on Turnout in the 2018 US Midterm Elections A Schein, K Vafa, D Sridhar, V Veitch, J Quinn, J Moffet, DM Blei, ... Proceedings of the Web Conference 2021, 2025-2036, 2021	14*	2021
The Ordered Matrix Dirichlet for state-space models N Stoehr, BJ Radford, R Cotterell, A Schein International Conference on Artificial Intelligence and Statistics, 1888-1903, 2023	9*	2023
Estimating conflict losses and reporting biases BJ Radford, Y Dai, N Stoehr, A Schein, M Fernandez, H Sajid Proceedings of the National Academy of Sciences 120 (34), e2307372120, 2023	8	2023
Allocative Poisson Factorization for Computational Social Science A Schein University of Massachusetts Amherst, 2019	8	2019
The hyperedge event model B Kim, A Schein, BA Desmarais, H Wallach arXiv preprint arXiv:1807.08225, 2018	8	2018
An ordinal latent variable model of conflict intensity N Stoehr, LT Hennigen, J Valvoda, R West, R Cotterell, A Schein arXiv preprint arXiv:2210.03971, 2022	7	2022
Measurement in the Age of LLMs: An Application to Ideological Scaling S O'Hagan, A Schein arXiv preprint arXiv:2312.09203, 2023	4	2023
Sentiment as an ordinal latent variable N Stoehr, R Cotterell, A Schein Proceedings of the 17th Conference of the European Chapter of the …, 2023	4	2023
Doubly non-central beta matrix factorization for DNA methylation data A Schein, A Nagulpally, H Wallach, P Flaherty Uncertainty in Artificial Intelligence, 1895-1904, 2021	4	2021
Inferring multilateral relations from dynamic pairwise interactions A Schein, J Moore, H Wallach arXiv preprint arXiv:1311.3982, 2013	4	2013
The ALCORE Tensor Decomposition for Sparse Count Data J Hood, AJ Schein International Conference on Artificial Intelligence and Statistics, 4654-4662, 2024	3	2024
A Bayesian nonparametric model for inferring subclonal populations from structured DNA sequencing data S He, A Schein, V Sarsani, P Flaherty The annals of applied statistics 15 (2), 925, 2021	3	2021
International Multicultural Name Matching Competition: Design, Execution, Results, and Lessons Learned. KJ Miller, ES Richerson, S McLeod, J Finley, A Schein LREC, 3111-3117, 2012	3	2012
Context versus Prior Knowledge in Language Models K Du, V Snæbjarnarson, N Stoehr, JC White, A Schein, R Cotterell arXiv preprint arXiv:2404.04633, 2024	2	2024

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