Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference.
Arnaud DescoursTom HuixArnaud GuillinManon MichelÉric MoulinesBoris NectouxPublished in: COLT (2023)
Keyphrases
- information extraction
- variational inference
- neural network
- bayesian inference
- posterior distribution
- multilayer perceptron
- probabilistic model
- mixture model
- topic models
- variational methods
- latent dirichlet allocation
- gaussian process
- latent variables
- closed form
- probabilistic graphical models
- back propagation
- parameter estimation
- exponential family
- exact inference
- approximate inference
- neural network model
- artificial neural networks
- graphical models
- probability distribution
- posterior probability
- bayesian framework
- radial basis function
- maximum a posteriori
- training set
- hyperparameters
- em algorithm
- markov networks
- prior information
- model selection
- maximum likelihood
- bayesian networks
- image segmentation
- gaussian distribution
- structured prediction
- particle filter
- factor graphs