Transformation Models for Flexible Posteriors in Variational Bayes.
Sefan HörtlingDaniel DoldOliver DürrBeate SickPublished in: CoRR (2021)
Keyphrases
- variational bayes
- transformation models
- bayesian inference
- posterior distribution
- hyperparameters
- latent variables
- transformation model
- bayesian learning
- probabilistic model
- free energy
- prior information
- merging algorithm
- gaussian mixture model
- maximum a posteriori
- parameter estimation
- probability distribution
- bayesian framework
- model selection
- expectation maximization
- noise level
- exponential family
- latent dirichlet allocation
- posterior probability
- em algorithm
- log likelihood
- prior knowledge
- machine learning
- cross validation
- feature selection