Decision-Making with Auto-Encoding Variational Bayes.
Romain LopezPierre BoyeauNir YosefMichael I. JordanJeffrey RegierPublished in: NeurIPS (2020)
Keyphrases
- variational bayes
- bayesian inference
- hyperparameters
- latent variables
- gaussian mixture model
- free energy
- bayesian learning
- exponential family
- posterior distribution
- data mining
- model selection
- latent dirichlet allocation
- probabilistic model
- cross validation
- log likelihood
- maximum likelihood
- bayesian framework
- noise level
- feature vectors
- support vector
- mixture model
- least squares
- hidden variables
- machine learning
- neural network