Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models.
Shanshan WuSujay SanghaviAlexandros G. DimakisPublished in: NeurIPS (2019)
Keyphrases
- graphical models
- pairwise
- belief propagation
- probabilistic model
- probabilistic inference
- approximate inference
- markov networks
- conditional random fields
- probabilistic graphical models
- random variables
- bayesian networks
- structure learning
- message passing
- belief networks
- exact inference
- higher order
- conditional independence
- exponential family
- statistical inference
- map inference
- loopy belief propagation
- semi supervised
- markov random field
- continuous variables
- loss function
- similarity measure
- factor graphs
- undirected graphical models
- graph cuts
- structural learning