Variational Inference as Iterative Projection in a Bayesian Hilbert Space.
Timothy D. BarfootGabriele M. T. D'EleuterioPublished in: CoRR (2020)
Keyphrases
- variational inference
- hilbert space
- bayesian inference
- posterior distribution
- convex sets
- topic models
- gaussian process
- mixture model
- probabilistic model
- closed form
- probability distribution
- latent variables
- hyperparameters
- bayesian framework
- posterior probability
- kernel function
- prior information
- convex optimization
- convex hull
- parameter estimation
- input space
- maximum a posteriori
- generative model
- image segmentation
- high dimensional data
- approximate inference
- markov networks
- bayesian networks