Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments

no code implementations • 4 Sep 2023 • James Enouen, Tianshu Sun, Yan Liu

Algorithm fairness has become a central problem for the broad adoption of artificial intelligence.

Causal Inference Fairness +1

Dimension-Free Average Treatment Effect Inference with Deep Neural Networks

no code implementations • 2 Dec 2021 • Xinze Du, Yingying Fan, Jinchi Lv, Tianshu Sun, Patrick Vossler

Under some regularity conditions, the observed response can be formulated as the response of a mean regression problem with both the confounding variables and the treatment indicator as the independent variables.

regression Uncertainty Quantification