General Fair Empirical Risk Minimization

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General Fair Empirical Risk Minimization

29 January 2019

Massimiliano Pontil

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Papers citing "General Fair Empirical Risk Minimization"

16 / 16 papers shown

Title
Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression Kuniko Paxton Koorosh Aslansefat Dhavalkumar Thakker Y. Papadopoulos 22 0 0 13 Jun 2025
Properties of fairness measures in the context of varying class imbalance and protected group ratios D. Brzezinski Julia Stachowiak Jerzy Stefanowski Izabela Szczech R. Susmaga Sofya Aksenyuk Uladzimir Ivashka Oleksandr Yasinskyi 250 6 0 13 Nov 2024
Mean Parity Fair Regression in RKHS Shaokui Wei Jiayin Liu Bing Li H. Zha 56 3 0 21 Feb 2023
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 109 177 0 14 Jul 2022
Fair Generalized Linear Models with a Convex Penalty Hyungrok Do Preston J. Putzel Axel Martin Padhraic Smyth Judy Zhong FaML 68 14 0 18 Jun 2022
Learning to Teach Fairness-aware Deep Multi-task Learning Arjun Roy Eirini Ntoutsi 76 7 0 16 Jun 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 92 45 0 06 Apr 2022
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features Stelios Boulitsakis-Logothetis FaML 83 5 0 23 Feb 2022
Assessing Fairness in the Presence of Missing Data Yiliang Zhang Q. Long FaML 65 36 0 07 Dec 2021
Selective Regression Under Fairness Criteria Abhin Shah Yuheng Bu Joshua K. Lee Subhro Das Yikang Shen P. Sattigeri G. Wornell 114 28 0 28 Oct 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 324 500 0 31 Dec 2020
Fair Regression with Wasserstein Barycenters Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil 97 108 0 12 Jun 2020
Optimization Hierarchy for Fair Statistical Decision Problems A. Aswani Matt Olfat 58 3 0 18 Oct 2019
Learning Fair Representations for Kernel Models Zilong Tan Samuel Yeom Matt Fredrikson Ameet Talwalkar FaML 117 25 0 27 Jun 2019
Learning Fair and Transferable Representations L. Oneto Michele Donini Andreas Maurer Massimiliano Pontil FaML 88 19 0 25 Jun 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil FaML 227 87 0 12 Jun 2019