Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models.
Shanshan WuSujay SanghaviAlexandros G. DimakisPublished in: CoRR (2018)
Keyphrases
- graphical models
- pairwise
- belief propagation
- random variables
- probabilistic graphical models
- probabilistic model
- approximate inference
- conditional random fields
- probabilistic inference
- markov networks
- message passing
- belief networks
- bayesian networks
- exact inference
- map inference
- structure learning
- markov random field
- graph structure
- factor graphs
- loss function
- gaussian graphical models
- higher order
- loopy belief propagation
- statistical inference
- similarity measure
- conditional independence
- semi supervised
- objective function
- markov logic networks
- relational databases
- undirected graphical models
- maximum likelihood