Bayesian inference via sparse Hamiltonian flows.
Naitong ChenZuheng XuTrevor CampbellPublished in: CoRR (2022)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- bayesian model
- hyperparameters
- statistical inference
- weighted model counting
- variational bayes
- particle filter
- variational inference
- hidden variables
- hierarchical bayesian
- markov chain monte carlo
- inference process
- gibbs sampler
- data sets
- prior distribution
- probabilistic modeling
- gaussian processes
- expectation propagation
- variational approximation
- stereo matching