Approximate blocked Gibbs sampling for Bayesian neural networks.
Theodore PapamarkouPublished in: Stat. Comput. (2023)
Keyphrases
- gibbs sampling
- dirichlet process mixture
- neural network
- markov chain monte carlo
- parameter estimation
- approximate inference
- markov chain
- expectation maximization
- em algorithm
- topic models
- latent dirichlet allocation
- maximum likelihood
- posterior distribution
- belief networks
- exact inference
- pattern recognition
- bayesian networks
- bayesian inference
- artificial neural networks
- posterior probability
- multilayer perceptron
- genetic algorithm
- neural network model
- graphical models
- knowledge discovery
- generative model
- belief propagation
- back propagation
- sampling methods
- co occurrence