Exact Manifold Gaussian Variational Bayes.
Martin MagrisMostafa ShabaniAlexandros IosifidisPublished in: CoRR (2022)
Keyphrases
- variational bayes
- gaussian mixture model
- expectation propagation
- bayesian inference
- latent variables
- bayesian learning
- hyperparameters
- free energy
- exponential family
- posterior distribution
- maximum likelihood
- latent dirichlet allocation
- em algorithm
- feature vectors
- gaussian distribution
- closed form
- probabilistic model
- feature space
- mixture model
- cross validation
- low dimensional
- log likelihood
- high dimensional
- density estimation
- probability density function
- parameter space
- prior information
- statistical models
- image reconstruction
- model selection