Search Results for author: Christopher W. Seymour

Found 1 papers, 1 papers with code

RISE: Robust Individualized Decision Learning with Sensitive Variables

1 code implementation12 Nov 2022 Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang

This paper introduces RISE, a robust individualized decision learning framework with sensitive variables, where sensitive variables are collectible data and important to the intervention decision, but their inclusion in decision making is prohibited due to reasons such as delayed availability or fairness concerns.

Decision Making Fairness

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