Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing

Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing (bibtex)

by Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari and Guy Van den Broeck

Reference:

Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari and Guy Van den Broeck. Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing, In Proceedings of the 37th International Conference on Machine Learning (ICML), 2020.

Bibtex Entry:

@inproceedings{ZengICML20,
  author    = {Zeng, Zhe and Morettin, Paolo and Yan, Fanqi and Vergari, Antonio and Van den Broeck, Guy},
  title     = {Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing},
  booktitle = {Proceedings of the 37th International Conference on Machine Learning (ICML)},
  month     = {jul},
  year      = {2020},
  url       = "http://starai.cs.ucla.edu/papers/ZengICML20.pdf",
  slides    = "http://starai.cs.ucla.edu/slides/ZengICML20.pdf",
  video     = "https://www.youtube.com/watch?v=JJdEjtRX-LM",
  code = "https://github.com/UCLA-StarAI/mpwmi",
  keywords  = {conference, selective}
}

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