Nonparametric Inference for Auto-Encoding Variational Bayes.
Erik BodinIman MalikCarl Henrik EkNeill D. F. CampbellPublished in: CoRR (2017)
Keyphrases
- probability density function
- variational bayes
- gaussian mixture model
- exponential family
- density estimation
- expectation maximization
- hyperparameters
- bayesian framework
- log likelihood
- mixture model
- bayesian inference
- latent variables
- em algorithm
- posterior distribution
- maximum likelihood
- bayesian learning
- free energy
- dirichlet process
- expectation propagation
- feature vectors
- maximum a posteriori
- probabilistic model
- random sampling
- gaussian distribution
- gaussian process
- markov chain monte carlo
- fixed point
- closed form
- model selection
- feature selection
- machine learning