Functional Graphical Models: Structure Enables Offline Data-Driven Optimization.
Jakub Grudzien KubaMasatoshi UeharaPieter AbbeelSergey LevinePublished in: CoRR (2024)
Keyphrases
- graphical models
- data driven
- belief propagation
- graph structure
- probabilistic model
- probabilistic graphical models
- gaussian graphical models
- random variables
- factor graphs
- structure learning
- approximate inference
- directed acyclic
- graphical structure
- probabilistic inference
- bayesian networks
- markov networks
- conditional dependencies
- undirected graphical models
- belief networks
- conditional random fields
- map inference
- conditional independence
- statistical inference
- exact inference
- markov logic networks
- structural learning
- chain graphs
- statistical relational learning
- efficient inference algorithms