Efficient Bayesian inference with latent Hamiltonian neural networks in No-U-Turn Sampling.
Somayajulu L. N. DhulipalaYifeng CheMichael D. ShieldsPublished in: J. Comput. Phys. (2023)
Keyphrases
- bayesian inference
- neural network
- gibbs sampler
- probabilistic model
- prior information
- markov chain monte carlo
- hyperparameters
- statistical inference
- variational inference
- hierarchical bayesian
- bayesian model
- monte carlo
- random sampling
- hidden variables
- latent variables
- dynamic programming
- variational bayes
- artificial neural networks
- variational approximation
- weighted model counting
- generative model
- bayesian networks