Robust Gaussian Graphical Model Estimation with Arbitrary Corruption.
Lingxiao WangQuanquan GuPublished in: ICML (2017)
Keyphrases
- graphical models
- belief propagation
- random variables
- probabilistic model
- probabilistic graphical models
- probabilistic inference
- markov networks
- approximate inference
- map inference
- conditional random fields
- structure learning
- bayesian networks
- belief networks
- graph structure
- exact inference
- statistical inference
- gaussian graphical models
- factor graphs
- least squares
- density estimation
- maximum likelihood estimation
- parameter learning
- bayesian framework
- parameter estimation
- generative model
- maximum likelihood
- reinforcement learning