Fairness criteria through the lens of directed acyclic graphical models.
Benjamin R. BaerDaniel E. GilbertMartin T. WellsPublished in: CoRR (2019)
Keyphrases
- directed acyclic
- graphical models
- belief propagation
- probabilistic model
- random variables
- probabilistic graphical models
- graph structure
- approximate inference
- bayesian networks
- structure learning
- conditional random fields
- probabilistic inference
- conditional independence
- markov networks
- exact inference
- factor graphs
- statistical inference
- suffix tree
- map inference
- training set