Fast and scalable learning of sparse changes in high-dimensional graphical model structure.
Beilun WangJiaqi ZhangHaoqing XuTe TaoPublished in: Neurocomputing (2022)
Keyphrases
- graphical models
- high dimensional
- gaussian graphical models
- undirected graphical models
- probabilistic model
- belief propagation
- directed acyclic
- conditional dependencies
- markov logic networks
- probabilistic graphical models
- probabilistic inference
- random variables
- graph structure
- dynamic programming
- factor graphs
- structural learning
- pairwise
- reinforcement learning
- bayesian networks
- conditional random fields
- learning algorithm
- conditional independence
- structure learning
- low dimensional
- prior knowledge