Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs.
Sanmitra GhoshPaul BirrellDaniela De AngelisPublished in: AISTATS (2024)
Keyphrases
- bayesian inference
- probabilistic model
- hidden markov models
- hyperparameters
- prior information
- hierarchical bayesian
- variational inference
- bayesian model
- statistical inference
- gibbs sampler
- markov networks
- markov chain monte carlo
- probabilistic modeling
- maximum likelihood
- neural network
- data sets
- weighted model counting
- network architecture
- pairwise
- search algorithm