WebDefinition 5 (Counterfactual fairness). Predictor Y^ is counterfactually fair if under any context X= xand A= a, P(Y^ A a(U) = yjX= x;A= a) = P(Y^A a0(U) = yjX= x;A= a); (1) for all yand for any value a0attainable by A. This notion is closely related to actual causes [13], … WebMar 26, 2024 · In this research, we propose a novel minimax game-theoretic model for counterfactual fairness that can produce accurate results meanwhile achieve a counterfactually fair decision with the relaxation of strong …

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WebMay 20, 2024 · To this end, we introduce a framework for achieving counterfactually fair recommendations through adversary learning by generating feature-independent user embeddings for recommendation. The framework allows recommender systems to achieve personalized fairness for users while also covering non-personalized situations. … WebFeb 28, 2024 · want our counterfactually fair predictor to align with the one in which an individual had. a different sex in the moment of application. This seems to align with the intuition our. fresh juice online delivery

A Study of Fair Prediction on Credit Assessment Based on

WebIn this work, we develop the Fair Learning through dAta Preprocessing (FLAP) algorithm to learn counterfactually fair decisions from biased training data and formalize the conditions where different data preprocessing procedures should be used to guarantee counterfactual fairness. We also show that Counterfactual Fairness is equivalent to the ... WebSep 30, 2024 · A predictor Y ^ is considered counterfactually fair if A is not a cause of Y ^ in any individual instance (Kusner et al., 2024). Or equivalently, when the distribution of Y ^ remains identical while changing the value of A and holding constant all variables not causally affected by A ( Kusner et al., 2024 ). WebApr 3, 2024 · This causal model contributes in generating counterfactual data to train a fair predictive model. Our framework is general enough to utilize any assumption within the causal model. Experimental results show that while prediction accuracy is comparable to recent work on this dataset, our predictions are counterfactually fair with respect to a ... fate microsoft store