2015 BayesianPoissonTensorFactorizat

• (Schein et al., 2015) ⇒ Aaron Schein, John Paisley, David M. Blei, and Hanna Wallach. (2015). “Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783414

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222015%22+Bayesian+Poisson+Tensor+Factorization+for+Inferring+Multilateral+Relations+from+Sparse+Dyadic+Event+Counts
• http://dl.acm.org/citation.cfm?id=2783258.2783414&preflayout=flat#citedby

Quotes

Author Keywords

• Bayesian inference; dyadic data; international relations; poisson tensor factorization; statistical

Abstract

We present a Bayesian tensor factorization model for inferring latent group structures from dynamic pairwise interaction patterns. For decades, political scientists have collected and analyzed records of the form " country i took action a toward country j at time t " - known as dyadic events - in order to form and test theories of international relations. We represent these event data as a tensor of counts and develop Bayesian Poisson tensor factorization to infer a low-dimensional, interpretable representation of their salient patterns. We demonstrate that our model's predictive performance is better than that of standard non-negative tensor factorization methods. We also provide a comparison of our variational updates to their maximum likelihood counterparts. In doing so, we identify a better way to form point estimates of the latent factors than that typically used in Bayesian Poisson matrix factorization. Finally, we showcase our model as an exploratory analysis tool for political scientists. We show that the inferred latent factor matrices capture interpretable multilateral relations that both conform to and inform our knowledge of international a airs.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2015 BayesianPoissonTensorFactorizat	Aaron Schein John Paisley Hanna M. Wallach David M. Blei			Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts				10.1145/2783258.2783414		2015