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

Title
Fairness Uncertainty Quantification: How certain are you that the model is fair? Abhishek Roy P. Mohapatra 159 5 0 27 Apr 2023
Fairness through Aleatoric UncertaintyInternational Conference on Information and Knowledge Management (CIKM), 2023 Anique Tahir Lu Cheng Huan Liu 242 18 0 07 Apr 2023
Non-Invasive Fairness in Learning through the Lens of Data DriftIEEE International Conference on Data Engineering (ICDE), 2023 Ke Yang A. Meliou 255 1 0 30 Mar 2023
Addressing Biases in the Texts using an End-to-End Pipeline ApproachInternational Workshop on Algorithmic Bias in Search and Recommendation (ABSR), 2023 Shaina Raza Syed Raza Bashir Sneha Urooj Qamar 153 1 0 13 Mar 2023
The Possibility of Fairness: Revisiting the Impossibility Theorem in PracticeConference on Fairness, Accountability and Transparency (FAccT), 2023 Andrew Bell Lucius E.J. Bynum Nazarii Drushchak Tetiana Herasymova Lucas Rosenblatt Julia Stoyanovich 129 30 0 13 Feb 2023
On Comparing Fair Classifiers under Data Bias Mohit Sharma Amit Deshpande R. Shah 294 2 0 12 Feb 2023
An Operational Perspective to Fairness Interventions: Where and How to Intervene Brian Hsu Xiaotong Chen Ying Han Hongseok Namkoong Kinjal Basu 300 2 0 03 Feb 2023
Superhuman FairnessInternational Conference on Machine Learning (ICML), 2023 Omid Memarrast Linh Vu Brian Ziebart FaML 92 3 0 31 Jan 2023
Preserving Fairness in AI under Domain ShiftJournal of Artificial Intelligence Research (JAIR), 2023 Serban Stan Mohammad Rostami 145 6 0 29 Jan 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness InterventionsNeural Information Processing Systems (NeurIPS), 2023 Hao Wang Luxi He Rui Gao Flavio du Pin Calmon 251 21 0 27 Jan 2023
Within-group fairness: A guidance for more sound between-group fairness Sara Kim Kyusang Yu Yongdai Kim FaML 181 1 0 20 Jan 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities Samer B. Nashed Justin Svegliato Su Lin Blodgett FaML 258 7 0 13 Jan 2023
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis Zifan Liu Evan Rosen P. Suganthan 119 3 0 18 Dec 2022
Layer-Stack Temperature Scaling Amr Khalifa Michael C. Mozer Hanie Sedghi Behnam Neyshabur Ibrahim Alabdulmohsin 218 2 0 18 Nov 2022
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-raysIEEE International Symposium on Biomedical Imaging (ISBI), 2022 Amelia Jiménez-Sánchez Dovile Juodelye B. Chamberlain Veronika Cheplygina 158 18 0 08 Nov 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble LearningIEEE Transactions on Evolutionary Computation (TEVC), 2022 Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 180 23 0 30 Oct 2022
FARE: Provably Fair Representation Learning with Practical CertificatesInternational Conference on Machine Learning (ICML), 2022 Nikola Jovanović Mislav Balunović Dimitar I. Dimitrov Martin Vechev 365 20 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 115 1 0 11 Oct 2022
Extremely Simple Activation Shaping for Out-of-Distribution DetectionInternational Conference on Learning Representations (ICLR), 2022 Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 394 201 0 20 Sep 2022
Algorithmic decision making methods for fair credit scoringIEEE Access (IEEE Access), 2022 Darie Moldovan FaML 173 11 0 16 Sep 2022
Omnipredictors for Constrained OptimizationInternational Conference on Machine Learning (ICML), 2022 Lunjia Hu Inbal Livni-Navon Omer Reingold Chutong Yang 230 14 0 15 Sep 2022
Adaptive Fairness Improvement Based on Causality Analysis Mengdi Zhang Jun Sun 138 43 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 277 4 0 03 Sep 2022
Fair learning with Wasserstein barycenters for non-decomposable performance measuresInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Solenne Gaucher Nicolas Schreuder Evgenii Chzhen 322 19 0 01 Sep 2022
Pushing the limits of fairness impossibility: Who's the fairest of them all?Neural Information Processing Systems (NeurIPS), 2022 Brian Hsu Rahul Mazumder Preetam Nandy Kinjal Basu 100 13 0 24 Aug 2022
A Novel Regularization Approach to Fair ML N. Matloff Wenxi Zhang FaML 91 5 0 13 Aug 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive SurveyACM Journal on Responsible Computing (JRC), 2022 Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 341 235 0 14 Jul 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and UtilityIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 Behrooz Razeghi Flavio du Pin Calmon Deniz Gunduz Svyatoslav Voloshynovskiy 177 19 0 11 Jul 2022
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning ClassifiersACM Transactions on Software Engineering and Methodology (TOSEM), 2022 Zhenpeng Chen Jie M. Zhang Federica Sarro Mark Harman FaML 189 88 0 07 Jul 2022
Fairness and Cost Constrained Privacy-Aware Record LinkageIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 Nan Wu Dinusha Vatsalan Sunny Verma M. Kâafar 120 5 0 30 Jun 2022
Transferring Fairness under Distribution Shifts via Fair Consistency RegularizationNeural Information Processing Systems (NeurIPS), 2022 Bang An Zora Che Mucong Ding Furong Huang 221 36 0 26 Jun 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter SmoothingInternational Conference on Machine Learning (ICML), 2022 Jiayin Jin Zeru Zhang Yang Zhou Lingfei Wu 184 15 0 22 Jun 2022
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit ModelsConference on Fairness, Accountability and Transparency (FAccT), 2022 Emily Black Hadi Elzayn Alexandra Chouldechova Jacob Goldin Mark A. Lemley MLAU 107 32 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 191 20 0 15 Jun 2022
A Machine Learning Model for Predicting, Diagnosing, and Mitigating Health Disparities in Hospital ReadmissionHealthcare Analytics (HA), 2022 Shaina Raza 166 21 0 13 Jun 2022
When Personalization Harms: Reconsidering the Use of Group Attributes in PredictionInternational Conference on Machine Learning (ICML), 2022 Vinith Suriyakumar Marzyeh Ghassemi Berk Ustun 315 10 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 175 18 0 31 May 2022
A Reduction to Binary Approach for Debiasing Multiclass DatasetsNeural Information Processing Systems (NeurIPS), 2022 Ibrahim Alabdulmohsin Jessica Schrouff Oluwasanmi Koyejo FaML MQ 256 11 0 31 May 2022
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy Limor Gultchin Vincent Cohen-Addad Sophie Giffard-Roisin Varun Kanade Frederik Mallmann-Trenn 127 4 0 24 May 2022
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning Sikha Pentyala Nicola Neophytou A. Nascimento Martine De Cock G. Farnadi 185 23 0 23 May 2022
Addressing Strategic Manipulation Disparities in Fair ClassificationConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2022 Vijay Keswani L. E. Celis 225 3 0 22 May 2022
A Survey on Fairness for Machine Learning on Graphs Charlotte Laclau C. Largeron Manvi Choudhary FaML 276 32 0 11 May 2022
Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models Abdulaziz A. Almuzaini V. Singh MLAU FaML 139 7 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 216 17 0 21 Apr 2022
Bayes-Optimal Classifiers under Group Fairness Xianli Zeng Guang Cheng Guang Cheng FaML 370 24 0 20 Feb 2022
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers Krystal Maughan Ivoline C. Ngong Joseph P. Near 142 2 0 09 Feb 2022
Optimal Transport of Classifiers to FairnessNeural Information Processing Systems (NeurIPS), 2022 Maarten Buyl T. D. Bie FaML 194 15 0 08 Feb 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistencyNeural Networks (NN), 2022 Kunwoong Kim Ilsang Ohn Sara Kim Yongdai Kim 225 6 0 07 Feb 2022
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcareConference on Fairness, Accountability and Transparency (FAccT), 2022 Stephen Pfohl Yizhe Xu Agata Foryciarz Nikolaos Ignatiadis Julian Z. Genkins N. Shah 194 34 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 114 8 0 01 Feb 2022