Forward-Backward Splitting for Time-Varying Graphical Models.
Federico TomasiVeronica TozzoAlessandro VerriSaverio SalzoPublished in: PGM (2018)
Keyphrases
- graphical models
- forward backward
- belief propagation
- hidden markov models
- probabilistic model
- random variables
- probabilistic inference
- probabilistic graphical models
- bayesian networks
- approximate inference
- conditional random fields
- structure learning
- markov networks
- directed acyclic
- map inference
- conditional independence
- belief networks
- exact inference
- graph structure
- loopy belief propagation
- factor graphs
- statistical inference
- chain graphs
- upper bound
- gaussian graphical models