Formal verification of higher-order probabilistic programs: reasoning about approximation, convergence, Bayesian inference, and optimization.
Tetsuya SatoAlejandro AguirreGilles BartheMarco GaboardiDeepak GargJustin HsuPublished in: Proc. ACM Program. Lang. (2019)
Keyphrases
- bayesian inference
- formal verification
- higher order
- probabilistic model
- program slicing
- expectation propagation
- hierarchical bayesian
- model checking
- inference process
- prior information
- probabilistic modeling
- hyperparameters
- variational inference
- variational approximation
- bayesian model
- generative model
- bounded model checking
- symbolic model checking
- automated verification
- model checker
- statistical inference
- variational bayes
- conditional random fields
- closed form
- bayesian networks
- gibbs sampler
- pairwise
- markov random field
- bayesian models
- temporal logic
- expectation maximization
- graphical models
- markov chain monte carlo
- conditional probabilities
- mixture model
- model selection