Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees

15 June 2018

Papers citing "Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees"

50 / 177 papers shown

Title
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 40 17 0 30 Oct 2022
FARE: Provably Fair Representation Learning with Practical Certificates Nikola Jovanović Mislav Balunović Dimitar I. Dimitrov Martin Vechev 41 10 0 13 Oct 2022
Navigating Ensemble Configurations for Algorithmic Fairness Michael Feffer Martin Hirzel Samuel C. Hoffman Kiran Kate Parikshit Ram Avraham Shinnar FedML FaML 16 0 0 11 Oct 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 158 150 0 20 Sep 2022
Algorithmic decision making methods for fair credit scoring Darie Moldovan FaML 25 7 0 16 Sep 2022
Omnipredictors for Constrained Optimization Lunjia Hu Inbal Livni-Navon Omer Reingold Chutong Yang 16 14 0 15 Sep 2022
Adaptive Fairness Improvement Based on Causality Analysis Mengdi Zhang Jun Sun 14 31 0 15 Sep 2022
Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions Quan-Gen Zhou Ramen Ghosh Robert Shorten Jakub Mareˇcek 22 1 0 03 Sep 2022
Fair learning with Wasserstein barycenters for non-decomposable performance measures Solenne Gaucher Nicolas Schreuder Evgenii Chzhen 11 14 0 01 Sep 2022
Pushing the limits of fairness impossibility: Who's the fairest of them all? Brian Hsu Rahul Mazumder Preetam Nandy Kinjal Basu 25 10 0 24 Aug 2022
A Novel Regularization Approach to Fair ML N. Matloff Wenxi Zhang FaML 13 4 0 13 Aug 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 31 159 0 14 Jul 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility Behrooz Razeghi Flavio du Pin Calmon Deniz Gunduz S. Voloshynovskiy 27 15 0 11 Jul 2022
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers Zhenpeng Chen Jie M. Zhang Federica Sarro Mark Harman FaML 8 66 0 07 Jul 2022
Fairness and Cost Constrained Privacy-Aware Record Linkage Nan Wu Dinusha Vatsalan Sunny Verma M. Kâafar 17 5 0 30 Jun 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 14 31 0 26 Jun 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing Jiayin Jin Zeru Zhang Yang Zhou Lingfei Wu 9 13 0 22 Jun 2022
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models Emily Black Hadi Elzayn Alexandra Chouldechova Jacob Goldin Daniel E. Ho MLAU 25 25 0 20 Jun 2022
Beyond Adult and COMPAS: Fairness in Multi-Class Prediction Wael Alghamdi Hsiang Hsu Haewon Jeong Hao Wang P. Michalák S. Asoodeh Flavio du Pin Calmon FaML 27 16 0 15 Jun 2022
A Machine Learning Model for Predicting, Diagnosing, and Mitigating Health Disparities in Hospital Readmission Shaina Raza 11 14 0 13 Jun 2022
When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction Vinith M. Suriyakumar Marzyeh Ghassemi Berk Ustun 30 6 0 04 Jun 2022
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier Camille Olivia Little Michael Weylandt Genevera I. Allen 22 13 0 31 May 2022
A Reduction to Binary Approach for Debiasing Multiclass Datasets Ibrahim M. Alabdulmohsin Jessica Schrouff Oluwasanmi Koyejo FaML MQ 32 9 0 31 May 2022
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy Limor Gultchin Vincent Cohen-Addad Sophie Giffard-Roisin Varun Kanade Frederik Mallmann-Trenn 21 4 0 24 May 2022
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning Sikha Pentyala Nicola Neophytou A. Nascimento Martine De Cock G. Farnadi 34 17 0 23 May 2022
Addressing Strategic Manipulation Disparities in Fair Classification Vijay Keswani L. E. Celis 22 3 0 22 May 2022
A Survey on Fairness for Machine Learning on Graphs Charlotte Laclau C. Largeron Manvi Choudhary FaML 13 22 0 11 May 2022
Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models Abdulaziz A. Almuzaini V. Singh MLAU FaML 26 6 0 22 Apr 2022
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms Nil-Jana Akpinar Manish Nagireddy Logan Stapleton H. Cheng Haiyi Zhu Steven Wu Hoda Heidari 20 13 0 21 Apr 2022
Bayes-Optimal Classifiers under Group Fairness Xianli Zeng Edgar Dobriban Guang Cheng FaML 11 22 0 20 Feb 2022
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers Krystal Maughan Ivoline C. Ngong Joseph P. Near 6 2 0 09 Feb 2022
Optimal Transport of Classifiers to Fairness Maarten Buyl T. D. Bie FaML 11 9 0 08 Feb 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency Kunwoong Kim Ilsang Ohn Sara Kim Yongdai Kim 19 4 0 07 Feb 2022
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare Stephen R. Pfohl Yizhe Xu Agata Foryciarz Nikolaos Ignatiadis Julian Z. Genkins N. Shah 17 29 0 03 Feb 2022
An Empirical Study of Modular Bias Mitigators and Ensembles Michael Feffer Martin Hirzel Samuel C. Hoffman Kiran Kate Parikshit Ram Avraham Shinnar 36 8 0 01 Feb 2022
Fairness for Robust Learning to Rank Omid Memarrast Ashkan Rezaei Rizal Fathony Brian D. Ziebart FaML 8 11 0 12 Dec 2021
Fairness for AUC via Feature Augmentation H. Fong Vineet Kumar Anay Mehrotra Nisheeth K. Vishnoi 12 10 0 24 Nov 2021
Interpretable and Fair Boolean Rule Sets via Column Generation Connor Lawless S. Dash Oktay Gunluk Dennis L. Wei FaML 11 12 0 16 Nov 2021
Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization Bhanu Jain M. Huber R. Elmasri 14 2 0 05 Nov 2021
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 11 26 0 25 Oct 2021
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias Sharat Agarwal Sumanyu Muku Saket Anand Chetan Arora 9 12 0 20 Oct 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 117 355 0 04 Oct 2021
Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values Haewon Jeong Hao Wang Flavio du Pin Calmon FaML 49 33 0 21 Sep 2021
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making Yi Yang Ying Nian Wu Mei Li Xiangyu Chang Yong Tan FaML 6 0 0 21 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 28 16 0 20 Sep 2021
MPC-Friendly Commitments for Publicly Verifiable Covert Security Nitin Agrawal James Bell Adria Gascon Matt J. Kusner 16 4 0 15 Sep 2021
Finding Representative Group Fairness Metrics Using Correlation Estimations Hadis Anahideh Nazanin Nezami Abolfazl Asudeh 11 1 0 13 Sep 2021
Fairness without the sensitive attribute via Causal Variational Autoencoder Vincent Grari Sylvain Lamprier Marcin Detyniecki 17 26 0 10 Sep 2021
Feature-based Individual Fairness in k-Clustering Debajyoti Kar Mert Kosan Debmalya Mandal Sourav Medya A. Silva P. Dey Swagato Sanyal FaML 31 9 0 09 Sep 2021
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes Alan Mishler Edward H. Kennedy FaML 17 23 0 01 Sep 2021