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

4 September 2023

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

4 / 4 papers shown

Title
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 139 45 0 12 Jul 2022
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 489 0 31 Dec 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 257 3,690 0 28 Feb 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 315 36,381 0 25 Aug 2016