Statistical Foundation of Variational Bayes Neural Networks.
Shrijita BhattacharyaTapabrata MaitiPublished in: CoRR (2020)
Keyphrases
- variational bayes
- neural network
- bayesian inference
- bayesian learning
- latent variables
- gaussian mixture model
- hyperparameters
- free energy
- posterior distribution
- latent dirichlet allocation
- statistical models
- model selection
- statistical methods
- probabilistic model
- log likelihood
- self organizing maps
- level set
- feature vectors
- exponential family
- feature extraction