Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model.
Jiaxi YingJosé Vinícius de Miranda CardosoDaniel P. PalomarPublished in: NeurIPS (2020)
Keyphrases
- graphical models
- gaussian graphical models
- probabilistic model
- graph structure
- probabilistic inference
- structural learning
- learning algorithm
- random variables
- belief propagation
- probabilistic graphical models
- undirected graphical models
- conditional random fields
- structure learning
- high dimensional
- information extraction
- state space
- directed acyclic graph
- exact inference
- directed acyclic
- objective function