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
The more the merrier: logical and multistage processors in credit scoring Arturo Pérez-Peralta Sandra Benítez-Peña Rosa E. Lillo FaML 73 0 0 31 Mar 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Y. Zou Linjun Zhang FaML 77 4 0 13 Mar 2025
Fair Text Classification via Transferable Representations Thibaud Leteno Michael Perrot Charlotte Laclau Antoine Gourru Christophe Gravier FaML 83 0 0 10 Mar 2025
Balancing the Scales: Enhancing Fairness in Facial Expression Recognition with Latent Alignment S. A. Rizvi Aryan Seth Pratik Narang 18 0 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 13 0 0 08 Oct 2024
Fairness-aware Multiobjective Evolutionary Learning Qingquan Zhang Jialin Liu Xin Yao 18 1 0 27 Sep 2024
An Effective, Robust and Fairness-aware Hate Speech Detection Framework Guanyi Mou Kyumin Lee 29 2 0 25 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 29 3 0 29 Aug 2024
Fairness-Aware Streaming Feature Selection with Causal Graphs Leizhen Zhang Lusi Li Di Wu Sheng Chen Yi He 17 4 0 17 Aug 2024
FairJob: A Real-World Dataset for Fairness in Online Systems Mariia Vladimirova Federico Pavone Eustache Diemert 34 1 0 03 Jul 2024
On the Power of Randomization in Fair Classification and Representation Sushant Agarwal Amit Deshpande FaML 32 5 0 05 Jun 2024
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness Seamus Somerstep Yaácov Ritov Yuekai Sun FaML 23 4 0 30 May 2024
De-Biasing Models of Biased Decisions: A Comparison of Methods Using Mortgage Application Data Nicholas Tenev 14 0 0 01 May 2024
Balancing Fairness and Accuracy in Data-Restricted Binary Classification Zachary McBride Lazri Danial Dervovic Antigoni Polychroniadou Ivan Brugere Dana Dachman-Soled Min Wu FaML 34 0 0 12 Mar 2024
Achievable Fairness on Your Data With Utility Guarantees Muhammad Faaiz Taufiq Jean-François Ton Yang Liu 19 1 0 27 Feb 2024
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach Vijay Keswani Anay Mehrotra L. E. Celis FaML 30 0 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 19 1 0 16 Feb 2024
Reranking individuals: The effect of fair classification within-groups S. Goethals T. Calders FaML 17 1 0 24 Jan 2024
Mitigating Nonlinear Algorithmic Bias in Binary Classification Wendy Hui Wai Kwong Lau FaML 25 0 0 09 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing Everything Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 47 6 0 05 Dec 2023
Counterfactual Fairness for Predictions using Generative Adversarial Networks Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 19 2 0 26 Oct 2023
fairret: a Framework for Differentiable Fairness Regularization Terms Maarten Buyl Marybeth Defrance T. D. Bie FedML 24 4 0 26 Oct 2023
Federated Learning with Convex Global and Local Constraints Chuan He Le Peng Ju Sun FedML 13 1 0 16 Oct 2023
Fairness under Covariate Shift: Improving Fairness-Accuracy tradeoff with few Unlabeled Test Samples Shreyas Havaldar Jatin Chauhan Karthikeyan Shanmugam Jay Nandy A. Raghuveer 33 1 0 11 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 35 14 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 16 5 0 15 Sep 2023
Fairness Improvement with Multiple Protected Attributes: How Far Are We? Zhenpeng Chen Jie M. Zhang Federica Sarro Mark Harman FaML 33 4 0 25 Jul 2023
The Effects of Mixed Sample Data Augmentation are Class Dependent Haeil Lee Han S. Lee Junmo Kim 24 1 0 18 Jul 2023
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching N. Shahbazi Nikola Danevski F. Nargesian Abolfazl Asudeh D. Srivastava 11 10 0 06 Jul 2023
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML Giang Nguyen Sumon Biswas Hridesh Rajan FaML 25 13 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 17 5 0 14 Jun 2023
Unprocessing Seven Years of Algorithmic Fairness André F. Cruz Moritz Hardt 29 10 0 12 Jun 2023
Adapting Fairness Interventions to Missing Values R. Feng Flavio du Pin Calmon Hao Wang FaML 21 9 0 30 May 2023
FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection B. Theodorou Lucas Glass Cao Xiao Jimeng Sun 22 7 0 30 May 2023
WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT? Ali Akbar Septiandri Marios Constantinides Mohammad Tahaei Daniele Quercia 20 34 0 10 May 2023
Fairness Uncertainty Quantification: How certain are you that the model is fair? Abhishek Roy P. Mohapatra 14 5 0 27 Apr 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 40 11 0 07 Apr 2023
Non-Invasive Fairness in Learning through the Lens of Data Drift Ke Yang A. Meliou 24 0 0 30 Mar 2023
Addressing Biases in the Texts using an End-to-End Pipeline Approach Shaina Raza Syed Raza Bashir Sneha Urooj Qamar 28 0 0 13 Mar 2023
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice Andrew Bell Lucius E.J. Bynum Nazarii Drushchak Tetiana Herasymova Lucas Rosenblatt Julia Stoyanovich 28 17 0 13 Feb 2023
On Comparing Fair Classifiers under Data Bias Mohit Sharma Amit Deshpande R. Shah 22 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 24 1 0 03 Feb 2023
Superhuman Fairness Omid Memarrast Linh Vu Brian D. Ziebart FaML 13 0 0 31 Jan 2023
Preserving Fairness in AI under Domain Shift Serban Stan Mohammad Rostami 6 2 0 29 Jan 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions Hao Wang Luxi He Rui Gao Flavio du Pin Calmon 14 9 0 27 Jan 2023
Within-group fairness: A guidance for more sound between-group fairness Sara Kim Kyusang Yu Yongdai Kim FaML 13 1 0 20 Jan 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities Samer B. Nashed Justin Svegliato Su Lin Blodgett FaML 22 6 0 13 Jan 2023
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis Zifan Liu Evan Rosen P. Suganthan 14 1 0 18 Dec 2022
Layer-Stack Temperature Scaling Amr Khalifa Michael C. Mozer Hanie Sedghi Behnam Neyshabur Ibrahim M. Alabdulmohsin 62 2 0 18 Nov 2022
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays Amelia Jiménez-Sánchez Dovile Juodelye B. Chamberlain V. Cheplygina 6 14 0 08 Nov 2022