Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows.
Michael ChertkovSidhant MisraMarc VuffrayDvijotham KrishnamurtyPascal Van HentenryckPublished in: CoRR (2017)
Keyphrases
- graphical models
- belief propagation
- network flow
- message passing
- approximate inference
- markov networks
- probabilistic inference
- probabilistic graphical models
- probabilistic model
- minimum cost
- markov random field
- random variables
- conditional random fields
- loopy belief propagation
- fixed point
- exact inference
- structure learning
- factor graphs
- energy minimization
- free energy
- belief networks
- worst case
- bayesian networks
- graph cuts
- linear programming
- variational methods
- partition function
- gaussian graphical models
- nonparametric belief propagation
- structured prediction
- energy function
- upper bound
- np hard
- reinforcement learning