Fast Inference for Probabilistic Graphical Models.
Jiantong JiangZeyi WenAtif Bin MansoorAjmal MianPublished in: USENIX ATC (2024)
Keyphrases
- probabilistic graphical models
- exact inference
- markov logic
- graphical models
- probabilistic inference
- parameter learning
- markov logic networks
- approximate inference
- bayesian networks
- markov networks
- first order logic
- belief propagation
- structured prediction
- random variables
- latent variables
- conditional random fields
- belief networks
- dynamic bayesian networks
- artificial intelligence
- hidden variables
- structure learning
- message passing
- fuzzy measures
- probabilistic model
- belief functions
- logic programs
- inductive logic programming
- least squares
- knowledge representation
- bayes nets