Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms.
Yi WuSiddharth SrivastavaNicholas HaySimon S. DuStuart J. RussellPublished in: CoRR (2018)
Keyphrases
- discrete data
- learning algorithm
- bayesian networks
- probabilistic networks
- continuous domains
- continuous valued
- mixture model
- continuous data
- significant improvement
- logic programming
- programming language
- computationally efficient
- parameter estimation
- formal semantics
- worst case
- object oriented
- inference process
- computational geometry
- data structure