Probabilistic Programming with Programmable Variational Inference.
McCoy R. BeckerAlexander K. LewXiaoyan WangMatin GhavamiMathieu HuotMartin C. RinardVikash K. MansinghkaPublished in: Proc. ACM Program. Lang. (2024)
Keyphrases
- variational inference
- probabilistic model
- hierarchical bayesian
- bayesian inference
- factor graphs
- topic models
- posterior distribution
- latent dirichlet allocation
- mixture model
- variational methods
- gaussian process
- probabilistic graphical models
- generative model
- bayesian networks
- exact inference
- posterior probability
- closed form
- graphical models
- approximate inference
- message passing
- latent variables
- model selection
- language model
- exponential family
- higher order
- image sequences