PGMJoins: Random Join Sampling with Graphical Models.
Ali Mohammadi ShanghooshabadMeghdad KurmanjiQingzhi MaMichael ShekelyanMehrdad AlmasiPeter TriantafillouPublished in: SIGMOD Conference (2021)
Keyphrases
- graphical models
- belief propagation
- probabilistic inference
- probabilistic model
- approximate inference
- random variables
- bayesian networks
- graph structure
- probabilistic graphical models
- structure learning
- exact inference
- markov networks
- monte carlo
- factor graphs
- conditional independence
- markov chain monte carlo
- conditional random fields
- statistical inference
- random sampling
- importance sampling
- belief networks
- sample size
- undirected graphical models
- directed acyclic
- nonparametric belief propagation