Counting the Optimal Solutions in Graphical Models.
Radu MarinescuRina DechterPublished in: NeurIPS (2019)
Keyphrases
- graphical models
- optimal solution
- belief propagation
- random variables
- probabilistic graphical models
- probabilistic model
- probabilistic inference
- markov networks
- approximate inference
- conditional random fields
- map inference
- structure learning
- belief networks
- factor graphs
- feasible solution
- bayesian networks
- metaheuristic
- exact inference
- branch and bound
- knapsack problem
- graph structure
- column generation
- conditional independence
- linear program
- np hard
- search space
- objective function
- statistical inference
- lower bound
- image segmentation
- loopy belief propagation
- gaussian graphical models