Random Sum-Product Networks: A Simple but Effective Approach to Probabilistic Deep Learning (bibtex)

by Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Xiaoting Shao, Martin Trapp, Kristian Kersting and Zoubin Ghahramani
Reference:
Robert Peharz, Antonio Vergari, Karl Stelzner, Alejandro Molina, Xiaoting Shao, Martin Trapp, Kristian Kersting and Zoubin Ghahramani. Random Sum-Product Networks: A Simple but Effective Approach to Probabilistic Deep Learning, In Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI), 2019.
Bibtex Entry:
@inproceedings{peharz2019random,
  title    = {Random Sum-Product Networks: A Simple but Effective Approach to Probabilistic Deep Learning},
  author   = {Peharz, Robert and Vergari, Antonio and Stelzner, Karl and Molina, Alejandro and Shao, Xiaoting and Trapp, Martin and Kersting, Kristian and Ghahramani, Zoubin},
  booktitle= {Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI)},
  year     = {2019},
  month    = jul,
  url       = "http://auai.org/uai2019/proceedings/papers/124.pdf",
  annotation = "(Oral full presentation)",
  keywords  = {conference,selective}
}
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