Uprooting and Rerooting Higher-Order Graphical Models.
Mark RowlandAdrian WellerPublished in: NIPS (2017)
Keyphrases
- graphical models
- higher order
- conditional random fields
- probabilistic model
- belief propagation
- probabilistic graphical models
- approximate inference
- probabilistic inference
- random variables
- pairwise
- bayesian networks
- map inference
- structure learning
- exact inference
- markov networks
- conditional independence
- factor graphs
- markov models
- graph structure
- statistical inference
- belief networks
- markov random field
- upper bound
- statistical relational learning
- directed acyclic