A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices

2 July 2018

Hoda Heidari

Papers citing "A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices"

50 / 116 papers shown

Title
Bias in Machine Learning Models Can Be Significantly Mitigated by Careful Training: Evidence from Neuroimaging Studies Rongguang Wang Pratik Chaudhari Christos Davatzikos OOD AI4CE 76 47 0 26 May 2022
De-biasing "bias" measurement K. Lum Yunfeng Zhang Amanda Bower 76 28 0 11 May 2022
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 67 30 0 02 Apr 2022
Dim Wihl Gat Tun: The Case for Linguistic Expertise in NLP for Underdocumented Languages C. Forbes Farhan Samir Bruce Oliver Changbing Yang Edith Coates Garrett Nicolai Miikka Silfverberg 38 1 0 17 Mar 2022
Measuring Fairness of Text Classifiers via Prediction Sensitivity Satyapriya Krishna Rahul Gupta Apurv Verma Jwala Dhamala Yada Pruksachatkun Kai-Wei Chang 65 7 0 16 Mar 2022
A Fair Empirical Risk Minimization with Generalized Entropy Young-Hwan Jin Jio Gim Tae-Jin Lee Young-Joo Suh FaML 98 1 0 24 Feb 2022
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality Yan Lyu Hangxin Lu Min Kyung Lee G. Schmitt Brian Y. Lim 62 10 0 15 Feb 2022
Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics Tomo Lazovich Luca Belli Aaron Gonzales Amanda Bower U. Tantipongpipat K. Lum Ferenc Huszár Rumman Chowdhury 72 17 0 03 Feb 2022
Fairness of Machine Learning Algorithms in Demography I. Emmanuel E. Mitrofanova FaML 56 0 0 02 Feb 2022
Fair ranking: a critical review, challenges, and future directions Gourab K. Patro Lorenzo Porcaro Laura Mitchell Qiuyue Zhang Meike Zehlike Nikhil Garg 76 56 0 29 Jan 2022
Dataset Geography: Mapping Language Data to Language Users Fahim Faisal Yinkai Wang Antonios Anastasopoulos 109 24 0 07 Dec 2021
Profit equitably: An investigation of market maker's impact on equitable outcomes Kshama Dwarakanath Svitlana Vyetrenko T. Balch 52 3 0 29 Oct 2021
Two-sided fairness in rankings via Lorenz dominance Virginie Do S. Corbett-Davies Jamal Atif Nicolas Usunier FaML 80 50 0 28 Oct 2021
Systematic Inequalities in Language Technology Performance across the World's Languages Damián E. Blasi Antonios Anastasopoulos Graham Neubig 164 141 0 13 Oct 2021
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 76 100 0 27 Sep 2021
SD-QA: Spoken Dialectal Question Answering for the Real World Fahim Faisal Sharlina Keshava ibn Alam Antonios Anastasopoulos 147 32 0 24 Sep 2021
Reducing Unintended Bias of ML Models on Tabular and Textual Data Guilherme Alves M. Amblard Fabien Bernier Miguel Couceiro A. Napoli FaML 39 17 0 05 Aug 2021
Non-Comparative Fairness for Human-Auditing and Its Relation to Traditional Fairness Notions Mukund Telukunta Venkata Sriram Siddhardh Nadendla 38 0 0 29 Jun 2021
Machine Translation into Low-resource Language Varieties Sachin Kumar Antonios Anastasopoulos S. Wintner Yulia Tsvetkov 83 30 0 12 Jun 2021
Subgroup Fairness in Two-Sided Markets Quan-Gen Zhou Jakub Mareˇcek Robert Shorten 63 2 0 04 Jun 2021
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 142 117 0 02 Jun 2021
Accounting for Model Uncertainty in Algorithmic Discrimination Junaid Ali Adish Singla Krishna P. Gummadi FaML 102 21 0 10 May 2021
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning Cyrus Cousins FaML 120 28 0 29 Apr 2021
Implementing Fair Regression In The Real World Boris Ruf Marcin Detyniecki 33 1 0 09 Apr 2021
Equality before the Law: Legal Judgment Consistency Analysis for Fairness Yuzhong Wang Chaojun Xiao Shirong Ma Haoxiang Zhong Cunchao Tu Tianyang Zhang Zhiyuan Liu Maosong Sun AILaw 71 20 0 25 Mar 2021
Hidden Technical Debts for Fair Machine Learning in Financial Services Chong Huang Arash Nourian Kevin Griest FaML 28 2 0 18 Mar 2021
Moral Decision-Making in Medical Hybrid Intelligent Systems: A Team Design Patterns Approach to the Bias Mitigation and Data Sharing Design Problems Jip J. van Stijn 53 2 0 16 Feb 2021
Quantum Fair Machine Learning Elija Perrier FaML 52 14 0 01 Feb 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 321 500 0 31 Dec 2020
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning Matthieu Zimmer Claire Glanois Umer Siddique Paul Weng OffRL 164 60 0 17 Dec 2020
Making ML models fairer through explanations: the case of LimeOut Guilherme Alves Vaishnavi Bhargava Miguel Couceiro A. Napoli FaML 24 7 0 01 Nov 2020
Assessing Classifier Fairness with Collider Bias Zhenlong Xu Ziqi Xu Jixue Liu Debo Cheng Jiuyong Li Lin Liu Adelaide Canada Ziqi Xu Zhenlong Xu contributed equally to this paper CML FaML 26 4 0 08 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 108 653 0 04 Oct 2020
On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion Mukund Telukunta Venkata Sriram Siddhardh Nadendla FaML 18 0 0 09 Sep 2020
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards Umer Siddique Paul Weng Matthieu Zimmer FaML OffRL 65 87 0 18 Aug 2020
LiFT: A Scalable Framework for Measuring Fairness in ML Applications Sriram Vasudevan K. Kenthapadi FaML 61 57 0 14 Aug 2020
Visual Analysis of Discrimination in Machine Learning Qianwen Wang Zhen Xu Zhutian Chen Yong Wang Shixia Liu Huamin Qu FaML 51 39 0 30 Jul 2020
Fairness without Demographics through Adversarially Reweighted Learning Preethi Lahoti Alex Beutel Jilin Chen Kang Lee Flavien Prost Nithum Thain Xuezhi Wang Ed H. Chi FaML 147 339 0 23 Jun 2020
Distributional Individual Fairness in Clustering Nihesh Anderson S. Bera Syamantak Das Yang Liu FedML FaML 61 21 0 22 Jun 2020
LimeOut: An Ensemble Approach To Improve Process Fairness Vaishnavi Bhargava Miguel Couceiro A. Napoli FaML 61 21 0 17 Jun 2020
Fairness Under Feature Exemptions: Counterfactual and Observational Measures Sanghamitra Dutta Praveen Venkatesh Piotr (Peter) Mardziel Anupam Datta P. Grover 51 17 0 14 Jun 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 69 40 0 26 May 2020
Fair Classification via Unconstrained Optimization Ibrahim Alabdulmohsin FaML 39 6 0 21 May 2020
Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy Bashir Rastegarpanah M. Crovella Krishna P. Gummadi FaML 46 8 0 19 May 2020
Dimensions of Diversity in Human Perceptions of Algorithmic Fairness Nina Grgic-Hlaca Gabriel Lima Adrian Weller Elissa M. Redmiles FaML 61 40 0 02 May 2020
Fair Active Learning Hadis Anahideh Abolfazl Asudeh Saravanan Thirumuruganathan FaML 115 53 0 06 Jan 2020
Fairness in Multi-agent Reinforcement Learning for Stock Trading Wenhang Bao AIFin 69 8 0 14 Dec 2019
Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM A. Barbado Óscar Corcho Richard Benjamins 59 54 0 21 Nov 2019
What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers Ananth Balashankar Alyssa Lees Chris Welty L. Subramanian 80 21 0 30 Oct 2019
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision Hanchen Wang Nina Grgic-Hlaca Preethi Lahoti Krishna P. Gummadi Adrian Weller FaML 160 27 0 22 Oct 2019