Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations

Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna M. Wallach. Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations. In Maria-Florina Balcan, Kilian Q. Weinberger, editors, Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016. Volume 48 of JMLR Workshop and Conference Proceedings, pages 2810-2819, JMLR.org, 2016. [doi]

@inproceedings{ScheinZBW16,
  title = {Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations},
  author = {Aaron Schein and Mingyuan Zhou and David M. Blei and Hanna M. Wallach},
  year = {2016},
  url = {http://jmlr.org/proceedings/papers/v48/schein16.html},
  researchr = {https://researchr.org/publication/ScheinZBW16},
  cites = {0},
  citedby = {0},
  pages = {2810-2819},
  booktitle = {Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016},
  editor = {Maria-Florina Balcan and Kilian Q. Weinberger},
  volume = {48},
  series = {JMLR Workshop and Conference Proceedings},
  publisher = {JMLR.org},
}