Functional Graphical Models: Structure Enables Offline Data-Driven Optimization.
Kuba Grudzien KubaMasatoshi UeharaSergey LevinePieter AbbeelPublished in: AISTATS (2024)
Keyphrases
- graphical models
- data driven
- graph structure
- belief propagation
- probabilistic model
- random variables
- conditional dependencies
- directed acyclic
- probabilistic graphical models
- graphical structure
- undirected graphical models
- probabilistic inference
- approximate inference
- gaussian graphical models
- factor graphs
- structure learning
- map inference
- exact inference
- conditional independence
- markov logic networks
- markov networks
- conditional random fields
- bayesian networks
- message passing
- statistical inference
- possibilistic networks
- latent variables
- structural learning
- maximum likelihood