Fairness Constraints: Mechanisms for Fair Classification

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi

Type: Preprint

Publication Date: 2015-07-19

Citations: 277

Locations

arXiv (Cornell University) - View

Similar Works

Action	Title	Year	Authors
+	Fairness Constraints: Mechanisms for Fair Classification	2015	Muhammad Bilal Zafar Isabel Valera Manuel Gomez-Rodriguez Krishna P. Gummadi
+	Learning Fair Classifiers	2015	Muhammad Bilal Zafar Isabel Valera Manuel Gomez-Rodriguez Krishna P. Gummadi
+	From Parity to Preference-based Notions of Fairness in Classification	2017	Muhammad Bilal Zafar Isabel Valera Manuel Gomez-Rodriguez Krishna P. Gummadi Adrian Weller
+	Auditing and Achieving Intersectional Fairness in Classification Problems	2019	Giulio Morina Viktoriia Oliinyk Julian Waton Ines Marušić Konstantinos Georgatzis
+	A Confidence-Based Approach for Balancing Fairness and Accuracy	2016	Benjamin Fish Jeremy Kun Ádám D. Lelkes
+	A Confidence-Based Approach for Balancing Fairness and Accuracy	2016	Benjamin Fish Jeremy Kun Ádám D. Lelkes
+	A Confidence-Based Approach for Balancing Fairness and Accuracy	2016	Benjamin Fish Jeremy Kun Ádám D. Lelkes
+	Blackbox Post-Processing for Multiclass Fairness	2022	Preston Putzel Scott Lee
+ PDF Chat	Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns	2020	Yoo-jung Choi Golnoosh Farnadi Behrouz Babaki Guy Van den Broeck
+	Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns	2019	YooJung Choi Golnoosh Farnadi Behrouz Babaki Guy Van den Broeck
+	Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns	2019	YooJung Choi Golnoosh Farnadi Behrouz Babaki Guy Van den Broeck
+	Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms.	2020	Gareth Jones James M. Hickey Pietro G. Di Stefano Charanpal Dhanjal Laura C. Stoddart Vlasios Vasileiou
+	Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms	2020	Gareth Jones James M. Hickey Pietro G. Di Stefano Charanpal Dhanjal Laura C. Stoddart V. Vasileiou
+ PDF Chat	Balancing Fairness and Accuracy in Data-Restricted Binary Classification	2024	Zachary McBride Lazri Danial Dervovic Antigoni Polychroniadou Ivan Brugere Dana Dachman-Soled Min Wu
+	What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers	2019	Ananth Balashankar Alyssa Lees Chris Welty Lakshminarayanan Subramanian
+	What is Fair? Exploring Pareto-Efficiency for Fairness Constraint Classifiers	2019	Alyssa Lees Ananth Balashankar Chris Welty Lakshminarayanan Subramanian
+	FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data	2022	Zhun Deng Jiayao Zhang Linjun Zhang Ting Ye R. Yates Coley Weijie Su James Zou
+	Survey on fairness notions and related tensions	2023	Guilherme Alves Fabien Bernier Miguel Couceiro Karima Makhlouf Catuscia Palamidessi Sami Zhioua
+	Optimal Transport of Classifiers to Fairness	2022	Maarten Buyl Tijl De Bie
+ PDF Chat	TowerDebias: A Novel Debiasing Method based on the Tower Property	2024	Norman Matloff Aditya Mittal

Works That Cite This (165)

Action	Title	Year	Authors
+	Fairness Under Feature Exemptions: Counterfactual and Observational Measures	2021	Sanghamitra Dutta Praveen Venkatesh Piotr Mardziel Anupam Datta Pulkit Grover
+	To Split or not to Split: The Impact of Disparate Treatment in Classification	2021	Hao Wang Hsiang Hsu Mario Díaz Flávio P. Calmon
+ PDF Chat	Algorithmic Fairness Verification with Graphical Models	2022	Bishwamittra Ghosh Debabrota Basu Kuldeep S. Meel
+	Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP	2023	Xudong Han Timothy Baldwin Trevor Cohn
+	Reducing Unintended Bias of ML Models on Tabular and Textual Data	2021	Guilherme Alves Maxime Amblard Fabien Bernier Miguel Couceiro Amedeo Napoli
+ PDF Chat	Proceedings of the 29th ACM International Conference on Information & Knowledge Management	2020	Ramanujam Madhavan Mohit Wadhwa
+ PDF Chat	Unfairness Discovery and Prevention For Few-Shot Regression	2020	Chen Zhao Feng Chen
+	Poisoning Attacks on Algorithmic Fairness	2020	David Noguéro Battista Biggio Carlos Castillo
+ PDF Chat	Learning Optimal Fair Scoring Systems for Multi-Class Classification	2022	Julien Rouzot Julien Ferry Marie‐José Huguet
+ PDF Chat	Optimising Equal Opportunity Fairness in Model Training	2022	Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann

Works Cited by This (0)

Action	Title	Year	Authors