Gibbs Sampling the Posterior of Neural Networks.
Giovanni PiccioliEmanuele TroianiLenka ZdeborováPublished in: CoRR (2023)
Keyphrases
- gibbs sampling
- markov chain monte carlo
- neural network
- markov chain
- approximate inference
- topic models
- parameter estimation
- posterior distribution
- expectation maximization
- em algorithm
- belief networks
- pattern recognition
- gaussian process
- latent dirichlet allocation
- generative model
- posterior probability
- artificial neural networks
- monte carlo
- particle filter
- bayesian inference
- probabilistic model
- back propagation
- exact inference
- probability distribution
- bayesian framework
- genetic algorithm
- graphical models
- hyperparameters
- message passing
- belief propagation
- cross validation
- model selection
- sampling algorithm
- simulated annealing