Structure Learning with Adaptive Random Neighborhood Informed MCMC.
Alberto CaronXitong LiangSamuel LivingstoneJim GriffinPublished in: CoRR (2023)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- parameter estimation
- conditional independence
- parameter learning
- bayesian network structure learning
- markov logic networks
- generative model
- approximate inference
- markov chain monte carlo
- probabilistic model
- markov networks
- markov blanket
- markov chain
- sample size
- network structure
- maximum likelihood estimation
- belief propagation
- gene regulatory networks
- bayesian inference
- unsupervised learning
- collaborative filtering
- knowledge representation
- pairwise