Fair Structure Learning in Heterogeneous Graphical Models.
Davoud Ataee TarzanaghLaura BalzanoAlfred O. Hero IIIPublished in: CoRR (2021)
Keyphrases
- structure learning
- graphical models
- belief propagation
- probabilistic model
- bayesian networks
- parameter learning
- probabilistic inference
- random variables
- probabilistic graphical models
- markov networks
- markov logic networks
- approximate inference
- conditional independence
- conditional random fields
- factor graphs
- dynamic bayesian networks
- gene regulatory networks
- exact inference
- belief networks
- machine learning
- higher order
- statistical relational learning
- undirected graphical models
- statistical learning
- message passing
- generative model
- maximum likelihood