Linking a predictive model to causal effect estimation

no code implementations • 10 Apr 2023 • Jiuyong Li, Lin Liu, Ziqi Xu, Ha Xuan Tran, Thuc Duy Le, Jixue Liu

This paper first tackles the challenge of estimating the causal effect of any feature (as the treatment) on the outcome w. r. t.

Decision Making Fairness

Explanatory causal effects for model agnostic explanations

no code implementations • 23 Jun 2022 • Jiuyong Li, Ha Xuan Tran, Thuc Duy Le, Lin Liu, Kui Yu, Jixue Liu

This paper studies the problem of estimating the contributions of features to the prediction of a specific instance by a machine learning model and the overall contribution of a feature to the model.