On Representations of Mean-Field Variational Inference.
Soumyadip GhoshYingdong LuTomasz NowickiEdith ZhangPublished in: CoRR (2022)
Keyphrases
- variational inference
- bayesian inference
- posterior distribution
- variational approximation
- variational methods
- topic models
- probabilistic model
- mixture model
- probabilistic graphical models
- gaussian process
- latent dirichlet allocation
- closed form
- exponential family
- approximate inference
- exact inference
- hyperparameters
- graphical models
- markov networks
- prior information
- latent variables
- probability distribution
- posterior probability
- optic flow
- factor graphs
- bayesian framework
- bayesian networks
- conditional random fields
- parameter estimation
- model selection
- dimensionality reduction
- least squares
- prior knowledge