activity
20132022
most citedBayesian Poisson Tucker Decomposition for Learning the Structure of International Relations

41 citations · 118 across the 9 of their papers we have counts for

collaborators

10 papers

stat.ML2022★ 5 cited

The Ordered Matrix Dirichlet for State-Space Models

Niklas Stoehr, Benjamin J. Radford, Ryan Cotterell +1

Many dynamical systems in the real world are naturally described by latent states with intrinsic orderings, such as "ally", "neutral", and "enemy" relationships in international re…

cs.LG2022

An Ordinal Latent Variable Model of Conflict Intensity

Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda +3

Measuring the intensity of events is crucial for monitoring and tracking armed conflict. Advances in automated event extraction have yielded massive data sets of "who did what to w…

stat.ML2021★ 1 cited

Doubly Non-Central Beta Matrix Factorization for DNA Methylation Data

Aaron Schein, Anjali Nagulpally, Hanna Wallach +1

We present a new non-negative matrix factorization model for bounded-support data based on the doubly non-central beta (DNCB) distribution, a generalization of the beta dis…

stat.ML2019★ 13 cited

Poisson-Randomized Gamma Dynamical Systems

Aaron Schein, Scott W. Linderman, Mingyuan Zhou +2

This paper presents the Poisson-randomized gamma dynamical system (PRGDS), a model for sequentially observed count tensors that encodes a strong inductive bias toward sparsity and…

stat.ME2018★ 3 cited

The Hyperedge Event Model

Bomin Kim, Aaron Schein, Bruce A. Desmarais +1

We introduce the hyperedge event model (HEM)---a generative model for events that can be represented as directed edges with one sender and one or more receivers or one receiver and…

stat.ML2018★ 14 cited

Locally Private Bayesian Inference for Count Models

Aaron Schein, Zhiwei Steven Wu, Alexandra Schofield +2

We present a general method for privacy-preserving Bayesian inference in Poisson factorization, a broad class of models that includes some of the most widely used models in the soc…