Generalization Error Bounds for Deep Variational Inference.
Badr-Eddine Chérief-AbdellatifPublished in: CoRR (2019)
Keyphrases
- variational inference
- generalization error bounds
- bayesian inference
- topic models
- mixture model
- posterior distribution
- probabilistic model
- gaussian process
- probabilistic graphical models
- variational methods
- latent dirichlet allocation
- closed form
- exponential family
- generalization error
- decision lists
- exact inference
- factor graphs
- model selection
- probability distribution
- hyperparameters
- data sets
- feature space
- parameter estimation
- approximate inference
- graphical models
- bayesian networks
- data mining