Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support.
Yuan ZhouHongseok YangYee Whye TehTom RainforthPublished in: ICML (2020)
Keyphrases
- bayesian networks
- belief networks
- probabilistic reasoning
- generative model
- inference process
- monte carlo
- probabilistic model
- logical inference
- bayesian inference
- probabilistic networks
- markov chain monte carlo methods
- decision support
- data sets
- end users
- stochastic model
- conditional probability distributions
- optimal strategy
- tree grammars
- variable elimination
- stochastic simulation
- learning automata
- probabilistic inference
- knowledge management
- probability distribution