Learning of Discrete Graphical Models with Neural Networks.
Abhijith JayakumarAndrey Y. LokhovSidhant MisraMarc VuffrayPublished in: CoRR (2020)
Keyphrases
- graphical models
- neural network
- probabilistic inference
- belief propagation
- learning algorithm
- markov networks
- approximate inference
- probabilistic model
- structural learning
- prior knowledge
- probabilistic graphical models
- relational dependency networks
- markov random field
- lower bound
- reinforcement learning
- statistical inference
- markov logic networks
- undirected graphical models