Graph Neural Networks have achieved tremendous success in modeling compl...
Learning disentangled causal representations is a challenging problem th...
Ensuring fairness in anomaly detection models has received much attentio...
As many deep anomaly detection models have been deployed in the real-wor...
Fair machine learning is receiving an increasing attention in machine
le...
A recent trend of fair machine learning is to define fairness as
causali...
Fairness-aware classification is receiving increasing attention in the
m...
Predictive models learned from historical data are widely used to help
c...
Discrimination-aware classification is receiving an increasing attention...