Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators.
Mario Lezcano CasadoAtilim Gunes BaydinDavid Martínez-RubioTuan Anh LeFrank D. WoodLukas Alexander HeinrichGilles LouppeKyle CranmerKaren NgWahid Bhimji PrabhatPublished in: CoRR (2017)
Keyphrases
- bayesian networks
- inference process
- probabilistic networks
- belief networks
- probabilistic reasoning
- decomposable negation normal form
- probabilistic inference
- logical inference
- probabilistic model
- factor graphs
- programming language
- variable elimination
- real life
- inference engine
- scientific discovery
- small scale
- data mining
- graphical models
- relational databases
- artificial intelligence
- scientific data
- belief propagation
- bayes nets
- object oriented programming
- programming environment
- scientific knowledge
- code generation
- uncertain data
- independence assumption
- generative model
- hidden markov models
- statistical relational learning
- knowledge compilation
- data management
- probabilistic logic
- exact inference
- web scale
- science education
- neural network
- bayesian inference
- conditional probabilities