Learning to Discover Sparse Graphical Models.
Eugene BelilovskyKyle KastnerGaël VaroquauxMatthew B. BlaschkoPublished in: ICLR (Workshop) (2017)
Keyphrases
- graphical models
- belief propagation
- learning algorithm
- probabilistic model
- reinforcement learning
- structural learning
- gaussian graphical models
- random variables
- probabilistic inference
- message passing
- relational models
- probabilistic graphical models
- structure learning
- relational learning
- belief networks
- conditional random fields
- prior knowledge
- deep architectures
- relational databases
- relational dependency networks