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cs.LG2024
Towards counterfactual fairness through auxiliary variables
Bowei Tian, Ziyao Wang, Shwai He +5
The challenge of balancing fairness and predictive accuracy in machine learning models, especially when sensitive attributes such as race, gender, or age are considered, has motiva…
cs.CV2024
SPARC: Scalable Path-Specific Counterfactual Fairness via Causal Conditional Independence
Bowei Tian, Yexiao He, Ziyao Wang +3
Deep learning models exhibit fairness concerns when predictions are inadvertently influenced by sensitive attributes. However, existing attempts to make Path-Specific Counterfactua…