Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data.
David MadrasElliot CreagerToniann PitassiRichard S. ZemelPublished in: CoRR (2018)
Keyphrases
- latent variable models
- data sets
- prior knowledge
- data analysis
- hidden variables
- learning algorithm
- latent variables
- original data
- input data
- reinforcement learning
- training data
- dimensionality reduction
- high dimensional data
- missing data
- learning tasks
- learning problems
- knowledge discovery
- active learning
- weakly supervised
- discriminative learning