From Parity to Preference-based Notions of Fairness in Classification

30 June 2017

Muhammad Bilal Zafar

Isabel Valera

Manuel Gomez Rodriguez

Papers citing "From Parity to Preference-based Notions of Fairness in Classification"

22 / 22 papers shown

Title
Participatory Personalization in Classification Hailey J James Chirag Nagpal Katherine A. Heller Berk Ustun 31 4 0 08 Feb 2023
Efficient Classification with Counterfactual Reasoning and Active Learning A. Mohammed D. Nguyen Bao Duong T. Nguyen CML 22 0 0 25 Jul 2022
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 128 45 0 12 Jul 2022
When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction Vinith M. Suriyakumar Marzyeh Ghassemi Berk Ustun 35 6 0 04 Jun 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 38 43 0 06 Apr 2022
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers Mukund Telukunta Venkata Sriram Siddhardh Nadendla MLAU FaML 20 0 0 16 Feb 2022
FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing Donald Loveland Jiayi Pan A. Bhathena Yiyang Lu 13 16 0 10 Jan 2022
Improving Fairness via Federated Learning Yuchen Zeng Hongxu Chen Kangwook Lee FedML 11 60 0 29 Oct 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 19 155 0 25 Feb 2021
Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antorán Umang Bhatt T. Adel Adrian Weller José Miguel Hernández-Lobato UQCV BDL 34 111 0 11 Jun 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 13 38 0 26 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 29 371 0 30 Apr 2020
Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare Natalia Martínez Martín Bertrán Guillermo Sapiro 11 25 0 16 Nov 2019
Fair Adversarial Gradient Tree Boosting Vincent Grari Boris Ruf Sylvain Lamprier Marcin Detyniecki FaML 16 33 0 13 Nov 2019
Efficient Fair Principal Component Analysis Mohammad Mahdi Kamani Farzin Haddadpour R. Forsati M. Mahdavi 11 36 0 12 Nov 2019
Fairness Violations and Mitigation under Covariate Shift Harvineet Singh Rina Singh Vishwali Mhasawade R. Chunara OOD 11 15 0 02 Nov 2019
The invisible power of fairness. How machine learning shapes democracy E. Beretta A. Santangelo Bruno Lepri A. Vetrò Juan Carlos De Martin FaML 13 6 0 22 Mar 2019
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 13 932 0 20 Jun 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 44 301 0 15 Jun 2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making Hoda Heidari Claudio Ferrari Krishna P. Gummadi Andreas Krause 8 129 0 13 Jun 2018
Fairness GAN P. Sattigeri Samuel C. Hoffman Vijil Chenthamarakshan Kush R. Varshney 18 92 0 24 May 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016