Learning to Discover Sparse Graphical Models.
Eugene BelilovskyKyle KastnerGaël VaroquauxMatthew B. BlaschkoPublished in: ICML (2017)
Keyphrases
- graphical models
- random variables
- belief propagation
- learning algorithm
- probabilistic model
- structure learning
- bayesian networks
- markov logic networks
- map inference
- gaussian graphical models
- prior knowledge
- probabilistic inference
- approximate inference
- structural learning
- reinforcement learning
- statistical inference