Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms.
Yi WuSiddharth SrivastavaNicholas HaySimon S. DuStuart J. RussellPublished in: ICML (2018)
Keyphrases
- discrete data
- bayesian networks
- computational complexity
- learning algorithm
- continuous domains
- significant improvement
- probabilistic model
- inference problems
- continuous data
- inference process
- continuous valued
- probabilistic reasoning
- bayesian inference
- theoretical analysis
- computationally efficient
- generative model
- data structure