Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning

Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina 0001, Martin Trapp, Xiaoting Shao, Kristian Kersting, Zoubin Ghahramani. Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. In Amir Globerson, Ricardo Silva, editors, Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, UAI 2019, Tel Aviv, Israel, July 22-25, 2019. pages 124, AUAI Press, 2019. [doi]

@inproceedings{PeharzVS0TSKG19,
  title = {Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning},
  author = {Robert Peharz and Antonio Vergari and Karl Stelzner and Alejandro Molina 0001 and Martin Trapp and Xiaoting Shao and Kristian Kersting and Zoubin Ghahramani},
  year = {2019},
  url = {http://auai.org/uai2019/proceedings/papers/124.pdf},
  researchr = {https://researchr.org/publication/PeharzVS0TSKG19},
  cites = {0},
  citedby = {0},
  pages = {124},
  booktitle = {Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, UAI 2019, Tel Aviv, Israel, July 22-25, 2019},
  editor = {Amir Globerson and Ricardo Silva},
  publisher = {AUAI Press},
}