Poster
in
Workshop: Causal Machine Learning for Real-World Impact
Toward Fair and Robust Optimal Treatment Regimes
Kwangho Kim · Jose Zubizarreta
Abstract:
We propose a new framework for robust nonparametric estimation of optimal treatment regimes under flexible fairness constraints.Under standard regularity conditions we show that the resulting estimators possess the double robustness property. We use this framework to characterize the trade-off between fairness and the maximum welfare that is achievable by the optimal treatment policy.
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