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

Title
Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness Jan Simson Alessandro Fabris Cosima Fröhner Frauke Kreuter Christoph Kern 99 0 0 25 Oct 2025
Fair Classification by Direct Intervention on Operating Characteristics Kevin Jiang Edgar Dobriban FaML 201 0 0 29 Sep 2025
"I think this is fair'': Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness Assessment Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 92 0 0 22 Sep 2025
VORTEX: Aligning Task Utility and Human Preferences through LLM-Guided Reward Shaping Guojun Xiong Milind Tambe 108 2 0 19 Sep 2025
Controllable Pareto Trade-off between Fairness and Accuracy Yongkang Du Jieyu Zhao Yijun Yang Tianyi Zhou 92 0 0 17 Sep 2025
APFEx: Adaptive Pareto Front Explorer for Intersectional Fairness Priyobrata Mondal Faizanuddin Ansari Swagatam Das 123 0 0 17 Sep 2025
Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget Davin Choo Yohai Trabelsi Fentabil Getnet Samson Warkaye Lamma Wondesen Nigatu Kasahun Sime Lisa Matay Milind Tambe Stéphane Verguet 84 0 0 29 Aug 2025
Applications and Challenges of Fairness APIs in Machine Learning SoftwareACM Transactions on Software Engineering and Methodology (TOSEM), 2025 Ajoy Das Gias Uddin Shaiful Chowdhury Mostafijur Rahman Akhond Hadi Hemmati FaML 180 0 0 22 Aug 2025
Fair for a few: Improving Fairness in Doubly Imbalanced Datasets Ata Yalcin Asli Umay Ozturk Yigit Sever Viktoria Pauw Stephan Hachinger Ismail Hakki Toroslu Pinar Karagoz FaML 144 0 0 17 Jun 2025
Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systems Jing Nathan Yan Emma Harvey Junxiong Wang Jeffrey M. Rzeszotarski Allison Koenecke FaML 274 0 0 26 May 2025
Fair Supervised Learning Through Constraints on Smooth Nonconvex Unfairness-Measure Surrogates Zahra Khatti Daniel P. Robinson Frank E. Curtis 113 0 0 21 May 2025
A Design Framework for operationalizing Trustworthy Artificial Intelligence in Healthcare: Requirements, Tradeoffs and Challenges for its Clinical AdoptionInformation Fusion (Inf. Fusion), 2025 Pedro A. Moreno-Sánchez Javier Del Ser Mark van Gils Jussi Hernesniemi 82 3 0 27 Apr 2025
The more the merrier: logical and multistage processors in credit scoring Arturo Pérez-Peralta Sandra Benítez-Peña Rosa E. Lillo FaML 166 0 0 31 Mar 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free GuaranteeInternational Conference on Learning Representations (ICLR), 2022 Puheng Li James Zou Linjun Zhang FaML 795 5 0 13 Mar 2025
Fair Text Classification via Transferable Representations Thibaud Leteno Michael Perrot Charlotte Laclau Antoine Gourru Christophe Gravier FaML 337 0 0 10 Mar 2025
Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling Min Sik Byun Wendy Hui Wai Kwong Lau CVBM FaML 105 1 0 14 Jan 2025
Balancing the Scales: Enhancing Fairness in Facial Expression Recognition with Latent Alignment S. A. Rizvi Aryan Seth Pratik Narang 175 1 0 25 Oct 2024
FAIREDU: A Multiple Regression-Based Method for Enhancing Fairness in Machine Learning Models for Educational Applications Nga Pham Minh Kha Do Tran Vu Dai Pham Ngoc Hung Anh Nguyen-Duc 111 1 0 08 Oct 2024
Fairness-aware Multiobjective Evolutionary LearningIEEE Transactions on Evolutionary Computation (IEEE Trans. Evol. Comput.), 2024 Qingquan Zhang Jialin Liu Xin Yao 152 1 0 27 Sep 2024
An Effective, Robust and Fairness-aware Hate Speech Detection Framework Guanyi Mou Kyumin Lee 252 3 0 25 Sep 2024
Centralized Selection with Preferences in the Presence of BiasesInternational Conference on Machine Learning (ICML), 2024 L. E. Celis Amit Kumar Nisheeth K. Vishnoi Andrew Xu 140 0 0 07 Sep 2024
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 238 5 0 29 Aug 2024
Fairness-Aware Streaming Feature Selection with Causal GraphsIEEE International Conference on Systems, Man and Cybernetics (SMC), 2024 Leizhen Zhang Lusi Li Di Wu Sheng Chen Yi He 164 7 0 17 Aug 2024
FairJob: A Real-World Dataset for Fairness in Online Systems Mariia Vladimirova Federico Pavone Eustache Diemert 285 6 0 03 Jul 2024
Cherry on the Cake: Fairness is NOT an Optimization Problem Marco Favier T. Calders 151 3 0 24 Jun 2024
On the Power of Randomization in Fair Classification and Representation Sushant Agarwal Amit Deshpande FaML 205 5 0 05 Jun 2024
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness Seamus Somerstep Yaácov Ritov Yuekai Sun FaML 232 6 0 30 May 2024
De-Biasing Models of Biased Decisions: A Comparison of Methods Using Mortgage Application Data Nicholas Tenev 210 0 0 01 May 2024
Balancing Fairness and Accuracy in Data-Restricted Binary ClassificationACM Transactions on Knowledge Discovery from Data (TKDD), 2024 Zachary McBride Lazri Danial Dervovic Antigoni Polychroniadou Shubham Sharma Dana Dachman-Soled Min Wu FaML 159 0 0 12 Mar 2024
Achievable Fairness on Your Data With Utility Guarantees Muhammad Faaiz Taufiq Jean-François Ton Yang Liu 239 1 0 27 Feb 2024
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach Vijay Keswani Anay Mehrotra L. E. Celis FaML 219 3 0 17 Feb 2024
InSaAF: Incorporating Safety through Accuracy and Fairness \| Are LLMs ready for the Indian Legal Domain? Yogesh Tripathi Raghav Donakanti Sahil Girhepuje Ishan Kavathekar Bhaskara Hanuma Vedula Gokul S Krishnan Shreya Goyal Anmol Goel Balaraman Ravindran Ponnurangam Kumaraguru ALM AILaw ELM 345 3 0 16 Feb 2024
Reranking individuals: The effect of fair classification within-groups S. Goethals T. Calders FaML 235 1 0 24 Jan 2024
Mitigating Nonlinear Algorithmic Bias in Binary ClassificationConference on Algebraic Informatics (CAI), 2023 Wendy Hui Wai Kwong Lau FaML 250 2 0 09 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing EverythingInternational Conference on Machine Learning (ICML), 2023 Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 332 13 0 05 Dec 2023
fairret: a Framework for Differentiable Fairness Regularization TermsInternational Conference on Learning Representations (ICLR), 2023 Maarten Buyl Marybeth Defrance T. D. Bie FedML 210 8 0 26 Oct 2023
Consistent End-to-End Estimation for Counterfactual Fairness Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 210 3 0 26 Oct 2023
Federated Learning with Convex Global and Local Constraints Chuan He Le Peng Ju Sun FedML 250 2 0 16 Oct 2023
Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test SamplesAAAI Conference on Artificial Intelligence (AAAI), 2023 Shreyas Havaldar Jatin Chauhan Karthikeyan Shanmugam Jay Nandy A. Raghuveer 362 2 0 11 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and ToolsConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023 Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 253 22 0 29 Sep 2023
Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups Parsa Rahimi Christophe Ecabert S´ebastien Marcel CVBM 298 7 0 15 Sep 2023
Fairness Improvement with Multiple Protected Attributes: How Far Are We?International Conference on Software Engineering (ICSE), 2023 Zhenpeng Chen Jie M. Zhang Federica Sarro Mark Harman FaML 208 17 0 25 Jul 2023
The Effects of Mixed Sample Data Augmentation are Class Dependent Haeil Lee Han S. Lee Junmo Kim 263 1 0 18 Jul 2023
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity MatchingProceedings of the VLDB Endowment (PVLDB), 2023 N. Shahbazi Nikola Danevski F. Nargesian Abolfazl Asudeh D. Srivastava 121 19 0 06 Jul 2023
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML Giang Nguyen Sumon Biswas Hridesh Rajan FaML 308 19 0 15 Jun 2023
Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity Lisa Koutsoviti Koumeri Magali Legast Yasaman Yousefi K. Vanhoof Axel Legay Christoph Schommer FaML 110 6 0 14 Jun 2023
Unprocessing Seven Years of Algorithmic FairnessInternational Conference on Learning Representations (ICLR), 2023 André F. Cruz Moritz Hardt 298 18 0 12 Jun 2023
Adapting Fairness Interventions to Missing ValuesNeural Information Processing Systems (NeurIPS), 2023 R. Feng Flavio du Pin Calmon Hao Wang FaML 157 16 0 30 May 2023
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection B. Theodorou Lucas Glass Cao Xiao Jimeng Sun 154 12 0 30 May 2023
WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?Conference on Fairness, Accountability and Transparency (FAccT), 2023 Ali Akbar Septiandri Marios Constantinides Mohammad Tahaei Daniele Quercia 258 51 0 10 May 2023