Bernstein Flows for Flexible Posteriors in Variational Bayes.
Oliver DürrStephan HörlingDaniel DoldIvonne KovylovBeate SickPublished in: CoRR (2022)
Keyphrases
- variational bayes
- bayesian inference
- posterior distribution
- latent variables
- hyperparameters
- bayesian learning
- probability distribution
- free energy
- gaussian mixture model
- prior information
- probabilistic model
- parameter estimation
- maximum a posteriori
- bayesian framework
- exponential family
- posterior probability
- maximum likelihood
- model selection
- latent dirichlet allocation
- random sampling
- hidden variables
- log likelihood
- bayesian networks
- generative model
- prior knowledge