A Novel Approach for Constrained Optimization in Graphical Models.
Sara RouhaniTahrima RahmanVibhav GogatePublished in: NeurIPS (2020)
Keyphrases
- constrained optimization
- graphical models
- belief propagation
- probabilistic model
- random variables
- constrained optimization problems
- probabilistic graphical models
- approximate inference
- probabilistic inference
- structure learning
- conditional random fields
- bayesian networks
- map inference
- unconstrained optimization
- markov networks
- exact inference
- objective function
- message passing
- factor graphs
- penalty function
- lagrange multipliers
- belief networks
- conditional independence
- undirected graphical models
- statistical inference
- support vector
- possibilistic networks