On Fairness, Diversity and Randomness in Algorithmic Decision Making

On Fairness, Diversity and Randomness in Algorithmic Decision Making

30 June 2017

Nina Grgic-Hlaca

Muhammad Bilal Zafar

Krishna P. Gummadi

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Papers citing "On Fairness, Diversity and Randomness in Algorithmic Decision Making"

19 / 19 papers shown

Title
Software Engineering Principles for Fairer Systems: Experiments with GroupCART Kewen Peng Hao Zhuo Yicheng Yang Tim Menzies FaML 116 0 0 17 Apr 2025
Randomized Transport Plans via Hierarchical Fully Probabilistic Design Sarah Boufelja Anthony Quinn Robert Shorten OT 120 0 0 04 Aug 2024
Adapting Fairness Interventions to Missing Values R. Feng Flavio du Pin Calmon Hao Wang FaML 61 10 0 30 May 2023
Counterfactually Comparing Abstaining Classifiers Yo Joong Choe Aditya Gangrade Aaditya Ramdas 52 1 0 17 May 2023
The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions Anna P. Meyer Aws Albarghouthi Loris Dántoni 74 15 0 20 Apr 2023
FAIR-Ensemble: When Fairness Naturally Emerges From Deep Ensembling Wei-Yin Ko Daniel D'souza Karina Nguyen Randall Balestriero Sara Hooker FedML 82 11 0 01 Mar 2023
Towards Understanding Fairness and its Composition in Ensemble Machine Learning Usman Gohar Sumon Biswas Hridesh Rajan FaML FedML 79 26 0 08 Dec 2022
Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness? Khaled Badran Pierre-Olivier Coté Amanda Kolopanis Rached Bouchoucha Antonio Collante D. Costa Emad Shihab Foutse Khomh FaML FedML 35 0 0 05 Dec 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 79 19 0 30 Oct 2022
Navigating Ensemble Configurations for Algorithmic Fairness Michael Feffer Martin Hirzel Samuel C. Hoffman Kiran Kate Parikshit Ram Avraham Shinnar FedML FaML 56 0 0 11 Oct 2022
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts Shubham Sharma Jette Henderson Joydeep Ghosh FedML MoE 48 5 0 10 Oct 2022
Metric-Fair Classifier Derandomization Jimmy Wu Yatong Chen Yang Liu FaML 150 6 0 15 Jun 2022
Fairness Transferability Subject to Bounded Distribution Shift Yatong Chen Reilly P. Raab Jialu Wang Yang Liu 103 35 0 31 May 2022
An Empirical Study of Modular Bias Mitigators and Ensembles Michael Feffer Martin Hirzel Samuel C. Hoffman Kiran Kate Parikshit Ram Avraham Shinnar 89 8 0 01 Feb 2022
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 321 500 0 31 Dec 2020
On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf FaML 168 87 0 13 Oct 2020
Model-Based and Data-Driven Strategies in Medical Image Computing Daniel Rueckert Julia A. Schnabel OOD MedIm AI4CE 62 50 0 23 Sep 2019
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 74 363 0 11 Jun 2019
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer David Madras T. Pitassi R. Zemel FaML 182 221 0 17 Nov 2017