Statistical foundation of Variational Bayes neural networks.
Shrijita BhattacharyaTapabrata MaitiPublished in: Neural Networks (2021)
Keyphrases
- variational bayes
- neural network
- latent variables
- bayesian inference
- hyperparameters
- free energy
- gaussian mixture model
- bayesian learning
- posterior distribution
- model selection
- information theoretic
- image segmentation
- topic models
- latent dirichlet allocation
- noise level
- clustering algorithm
- gaussian process
- random sampling
- probability distribution
- higher order
- upper bound