Learning of Discrete Graphical Models with Neural Networks.
Abhijith JayakumarAndrey Y. LokhovSidhant MisraMarc VuffrayPublished in: NeurIPS (2020)
Keyphrases
- graphical models
- neural network
- structural learning
- learning algorithm
- belief propagation
- probabilistic model
- random variables
- structure learning
- probabilistic inference
- undirected graphical models
- approximate inference
- relational dependency networks
- map inference
- reinforcement learning
- belief networks
- learning problems
- markov networks
- conditional random fields
- markov logic networks
- factor graphs
- relational models
- prior knowledge
- objective function
- bayesian networks