Structure Learning with Adaptive Random Neighborhood Informed MCMC.
Xitong LiangAlberto CaronSamuel LivingstoneJim E. GriffinPublished in: NeurIPS (2023)
Keyphrases
- structure learning
- graphical models
- bayesian networks
- approximate inference
- parameter estimation
- parameter learning
- conditional independence
- markov logic networks
- bayesian network structure learning
- markov chain monte carlo
- transfer learning
- belief propagation
- sample size
- generative model
- markov networks
- posterior probability
- markov blanket
- posterior distribution
- probability distribution
- particle filtering
- conditional random fields
- markov chain
- lower bound