Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits (bibtex)

by Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting and Zoubin Ghahramani
Reference:
Robert Peharz, Steven Lang, Antonio Vergari, Karl Stelzner, Alejandro Molina, Martin Trapp, Guy Van den Broeck, Kristian Kersting and Zoubin Ghahramani. Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits, In Proceedings of the 37th International Conference on Machine Learning (ICML), 2020.
Bibtex Entry:
@inproceedings{PeharzICML20,
  author    = {Peharz, Robert  and Lang, Steven and Vergari, Antonio and Stelzner, Karl and Molina, Alejandro and Trapp, Martin and Van den Broeck, Guy and Kersting, Kristian and Ghahramani, Zoubin},
  title     = {Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits},
  booktitle = {Proceedings of the 37th International Conference on Machine Learning (ICML)},
  month     = {jul},
  year      = {2020},
  url       = "http://starai.cs.ucla.edu/papers/PeharzICML20.pdf",
  keywords  = {conference, selective}
}
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