Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach

no code implementations • 19 Jan 2024 • Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong

To address this limitation, this paper proposes a framework for achieving causal fairness based on the notion of interventions when the true causal graph is partially known.

Causal Inference Fairness

Counterfactual Fairness with Partially Known Causal Graph

no code implementations • 27 May 2022 • Aoqi Zuo, Susan Wei, Tongliang Liu, Bo Han, Kun Zhang, Mingming Gong

Interestingly, we find that counterfactual fairness can be achieved as if the true causal graph were fully known, when specific background knowledge is provided: the sensitive attributes do not have ancestors in the causal graph.

BIG-bench Machine Learning Causal Inference +2