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"

48 / 48 papers shown

Title
Fairness-aware Anomaly Detection via Fair Projection Feng Xiao Xiaoying Tang Jicong Fan 37 0 0 16 May 2025
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning Yaowei Hu Jacob Lear Lu Zhang FaML 31 2 0 12 Jan 2024
Designing Equitable Algorithms Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 18 13 0 17 Feb 2023
Participatory Personalization in Classification Hailey J James Chirag Nagpal Katherine A. Heller Berk Ustun 39 4 0 08 Feb 2023
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data Minghong Fang Jia-Wei Liu Michinari Momma Yi Sun 38 4 0 13 Dec 2022
Efficient Classification with Counterfactual Reasoning and Active Learning A. Mohammed D. Nguyen Bao Duong T. Nguyen CML 30 0 0 25 Jul 2022
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 142 45 0 12 Jul 2022
When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction Vinith Suriyakumar Marzyeh Ghassemi Berk Ustun 44 6 0 04 Jun 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 51 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
Adaptive Sampling Strategies to Construct Equitable Training Datasets William Cai R. Encarnación Bobbie Chern S. Corbett-Davies Miranda Bogen Stevie Bergman Sharad Goel 89 30 0 31 Jan 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 24 61 0 29 Oct 2021
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values Haewon Jeong Hao Wang Flavio du Pin Calmon FaML 51 33 0 21 Sep 2021
Fairness Perceptions of Algorithmic Decision-Making: A Systematic Review of the Empirical Literature C. Starke Janine Baleis Birte Keller Frank Marcinkowski FaML 25 144 0 22 Mar 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 27 158 0 25 Feb 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 30 25 0 18 Jan 2021
Fair for All: Best-effort Fairness Guarantees for Classification A. Krishnaswamy Zhihao Jiang Kangning Wang Yu Cheng Kamesh Munagala FaML 20 10 0 18 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 108 1,386 0 14 Dec 2020
Minimax Pareto Fairness: A Multi Objective Perspective Natalia Martínez Martín Bertrán Guillermo Sapiro FaML 25 190 0 03 Nov 2020
Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antorán Umang Bhatt T. Adel Adrian Weller José Miguel Hernández-Lobato UQCV BDL 52 112 0 11 Jun 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 15 39 0 26 May 2020
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning Pieter Delobelle Paul Temple Gilles Perrouin Benoit Frénay P. Heymans Bettina Berendt AAML FaML 27 14 0 14 May 2020
Ensuring Fairness under Prior Probability Shifts Arpita Biswas Suvam Mukherjee OOD 24 33 0 06 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 55 371 0 30 Apr 2020
Fairness by Explicability and Adversarial SHAP Learning James M. Hickey Pietro G. Di Stefano V. Vasileiou FAtt FedML 33 19 0 11 Mar 2020
Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare Natalia Martínez Martín Bertrán Guillermo Sapiro 19 25 0 16 Nov 2019
Fair Adversarial Gradient Tree Boosting Vincent Grari Boris Ruf Sylvain Lamprier Marcin Detyniecki FaML 19 33 0 13 Nov 2019
Efficient Fair Principal Component Analysis Mohammad Mahdi Kamani Farzin Haddadpour R. Forsati M. Mahdavi 13 36 0 12 Nov 2019
Fairness Violations and Mitigation under Covariate Shift Harvineet Singh Rina Singh Vishwali Mhasawade R. Chunara OOD 27 15 0 02 Nov 2019
Avoiding Resentment Via Monotonic Fairness G. W. Cole Sinead Williamson FaML 27 7 0 03 Sep 2019
Operationalizing Individual Fairness with Pairwise Fair Representations Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 38 101 0 02 Jul 2019
ProPublica's COMPAS Data Revisited M. Barenstein FaML 14 50 0 11 Jun 2019
Fairness and Missing Values Fernando Martínez-Plumed Cesar Ferri David Nieves José Hernández-Orallo 24 28 0 29 May 2019
The invisible power of fairness. How machine learning shapes democracy E. Beretta A. Santangelo Bruno Lepri A. Vetrò Juan Carlos De Martin FaML 21 6 0 22 Mar 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions Hao Wang Berk Ustun Flavio du Pin Calmon FaML 36 83 0 29 Jan 2019
Fairness risk measures Robert C. Williamson A. Menon FaML 36 135 0 24 Jan 2019
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature Franz J. Király Bilal A. Mateen R. Sonabend 23 10 0 18 Dec 2018
Aequitas: A Bias and Fairness Audit Toolkit Pedro Saleiro Benedict Kuester Loren Hinkson J. London Abby Stevens Ari Anisfeld Kit T. Rodolfa Rayid Ghani 51 318 0 14 Nov 2018
A General Framework for Fair Regression Jack K. Fitzsimons AbdulRahman Al Ali Michael A. Osborne Stephen J. Roberts FaML 30 37 0 10 Oct 2018
Towards Robust Interpretability with Self-Explaining Neural Networks David Alvarez-Melis Tommi Jaakkola MILM XAI 56 935 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 66 302 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 22 128 0 13 Jun 2018
Blind Justice: Fairness with Encrypted Sensitive Attributes Niki Kilbertus Adria Gascon Matt J. Kusner Michael Veale Krishna P. Gummadi Adrian Weller 28 149 0 08 Jun 2018
Fairness GAN P. Sattigeri Samuel C. Hoffman Vijil Chenthamarakshan Kush R. Varshney 18 93 0 24 May 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 38 440 0 23 Feb 2018
Does mitigating ML's impact disparity require treatment disparity? Zachary Chase Lipton Alexandra Chouldechova Julian McAuley 37 16 0 19 Nov 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016