Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations.
Zhe ZengPaolo MorettinFanqi YanAntonio VergariGuy Van den BroeckPublished in: NeurIPS (2020)
Keyphrases
- probabilistic inference
- graphical models
- approximate inference
- bayesian networks
- influence diagrams
- message passing
- weighted model counting
- belief networks
- conditional probabilities
- context specific independence
- bayesian belief networks
- variational methods
- exact inference
- higher order
- back propagation
- data sets
- variable elimination