Bayesian Inference with Latent Hamiltonian Neural Networks.
Somayajulu L. N. DhulipalaYifeng CheMichael D. ShieldsPublished in: CoRR (2022)
Keyphrases
- bayesian inference
- neural network
- probabilistic model
- prior information
- latent variables
- variational inference
- bayesian model
- hyperparameters
- hidden variables
- hierarchical bayesian
- statistical inference
- artificial neural networks
- variational bayes
- back propagation
- markov chain monte carlo
- particle filter
- gibbs sampler
- probabilistic modeling
- variational approximation
- weighted model counting
- bayesian models
- prior distribution
- markov networks
- random variables
- maximum likelihood
- graphical models
- co occurrence
- reinforcement learning