Improving Fair Predictions Using Variational Inference In Causal Models.
Rik HelwegenChristos LouizosPatrick ForréPublished in: CoRR (2020)
Keyphrases
- causal models
- variational inference
- bayesian inference
- causal discovery
- conditional independence
- topic models
- causal relationships
- posterior distribution
- probabilistic graphical models
- probabilistic model
- directed acyclic graph
- variational methods
- closed form
- mixture model
- gaussian process
- exact inference
- graphical models
- approximate inference
- factor graphs
- hyperparameters
- exponential family
- latent dirichlet allocation
- maximum likelihood