Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs.
Robert WaleckiKostis GourgouliasAdam BakerChris HartChris LucasMax ZwiesseleAlbert BuchardMaria LomeliYura PerovSaurabh JohriPublished in: CoRR (2019)
Keyphrases
- belief networks
- bayesian networks
- inference process
- probabilistic model
- logical inference
- probabilistic reasoning
- probabilistic modeling
- data driven
- generative model
- probabilistic networks
- bayesian reasoning
- belief nets
- bayes nets
- inference in bayesian networks
- bayesian inference
- conditional probabilities
- variable elimination
- inference engine
- probabilistic inference
- turing machine
- posterior probability
- probabilistic logic programs
- topic models
- inference mechanism
- factor graphs
- statistical relational learning
- deep learning
- probabilistic logic
- computer programs