Towards Verified Stochastic Variational Inference for Probabilistic Programs.
Wonyeol LeeHangyeol YuXavier RivalHongseok YangPublished in: CoRR (2019)
Keyphrases
- variational inference
- probabilistic model
- bayesian inference
- topic models
- factor graphs
- probabilistic graphical models
- posterior distribution
- latent dirichlet allocation
- generative model
- graphical models
- variational methods
- bayesian networks
- exponential family
- gaussian process
- mixture model
- exact inference
- closed form
- latent variables
- approximate inference
- posterior probability
- belief networks
- pairwise
- semi supervised
- information retrieval
- monte carlo
- least squares
- co occurrence
- hyperparameters
- higher order