Efficient Learning of Discrete Graphical Models.
Marc VuffraySidhant MisraAndrey Y. LokhovPublished in: NeurIPS (2020)
Keyphrases
- graphical models
- efficient learning
- belief propagation
- probabilistic model
- random variables
- probabilistic inference
- probabilistic graphical models
- relational models
- approximate inference
- map inference
- bayesian networks
- markov networks
- structure learning
- conditional random fields
- conditional independence
- membership queries
- chain graphs
- exact inference
- structured prediction
- message passing
- artificial intelligence
- statistical inference
- graph structure
- knowledge representation
- factor graphs
- learning algorithm
- statistical relational learning
- machine learning