The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer.
Maarten BuylTijl De BiePublished in: CoRR (2021)
Keyphrases
- graph model
- kl divergence
- kullback leibler divergence
- mahalanobis distance
- information theoretic
- gaussian distribution
- bipartite graph
- gaussian mixture
- posterior distribution
- semi supervised
- exponential family
- vector space model
- probabilistic latent semantic analysis
- mutual information
- weighted graph
- probability density
- metric learning
- probabilistic model
- euclidean distance
- dimensionality reduction
- knn