Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure.
Beilun WangArshdeep SekhonYanjun QiPublished in: AISTATS (2018)
Keyphrases
- graphical models
- high dimensional
- gaussian graphical models
- undirected graphical models
- belief propagation
- bayesian networks
- learning algorithm
- reinforcement learning
- probabilistic inference
- approximate inference
- markov logic networks
- structure learning
- variable selection
- graph structure
- probabilistic model
- conditional random fields
- hidden variables
- low dimensional
- exact inference
- probabilistic graphical models
- random variables
- graphical structure
- structural learning
- directed acyclic
- maximum likelihood