Beyond black box densities: Parameter learning for the deviated components.
Dat DoNhat HoXuanLong NguyenPublished in: NeurIPS (2022)
Keyphrases
- black box
- parameter learning
- structure learning
- bayesian networks
- black boxes
- generative model
- statistical learning
- maximum likelihood
- conditional random fields
- white box
- em algorithm
- parameter estimation
- approximate inference
- hidden variables
- test cases
- probabilistic model
- probability distribution
- first order logic
- learning algorithm
- markov random field
- image segmentation
- image processing
- social networks