Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification

12 June 2019

Papers citing "Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification"

50 / 59 papers shown

Title
Bayes-Optimal Fair Classification with Multiple Sensitive Features Yi Yang Yinghui Huang Xiangyu Chang FaML 67 0 0 01 May 2025
The Cost of Local and Global Fairness in Federated Learning Yuying Duan Gelei Xu Yiyu Shi Michael Lemmon FedML 54 0 0 27 Mar 2025
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning Lihe Zhang Chaochao Chen Zhongxuan Han Qiyong Zhong Xiaolin Zheng FedML 63 0 0 21 Mar 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Zou Linjun Zhang FaML 98 4 0 13 Mar 2025
Controlled Model Debiasing through Minimal and Interpretable Updates Federico Di Gennaro Thibault Laugel Vincent Grari Marcin Detyniecki FaML 57 0 0 28 Feb 2025
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 38 0 0 02 Oct 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 55 0 0 31 Aug 2024
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems Mohammad-Amin Charusaie Samira Samadi 29 1 0 17 Jul 2024
On the Power of Randomization in Fair Classification and Representation Sushant Agarwal Amit Deshpande FaML 45 5 0 05 Jun 2024
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing Yuying Duan Yijun Tian Nitesh Chawla Michael Lemmon FedML 34 2 0 28 May 2024
Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure Gaurav Maheshwari A. Bellet Pascal Denis Mikaela Keller 57 1 0 23 May 2024
Intrinsic Fairness-Accuracy Tradeoffs under Equalized Odds Meiyu Zhong Ravi Tandon FaML 43 3 0 12 May 2024
FairRR: Pre-Processing for Group Fairness through Randomized Response Xianli Zeng Joshua Ward Guang Cheng 19 0 0 12 Mar 2024
How Far Can Fairness Constraints Help Recover From Biased Data? Mohit Sharma Amit Deshpande FaML 25 2 0 16 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing Everything Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 55 6 0 05 Dec 2023
Parametric Fairness with Statistical Guarantees François Hu Philipp Ratz Arthur Charpentier FaML 15 1 0 31 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 40 14 0 29 Sep 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 44 10 0 16 Jun 2023
Arbitrariness Lies Beyond the Fairness-Accuracy Frontier Carol Xuan Long Hsiang Hsu Wael Alghamdi Flavio du Pin Calmon FaML 31 6 0 15 Jun 2023
Adapting Fairness Interventions to Missing Values R. Feng Flavio du Pin Calmon Hao Wang FaML 26 10 0 30 May 2023
Improving Fair Training under Correlation Shifts Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 35 17 0 05 Feb 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions Hao Wang Luxi He Rui Gao Flavio du Pin Calmon 21 9 0 27 Jan 2023
Within-group fairness: A guidance for more sound between-group fairness Sara Kim Kyusang Yu Yongdai Kim FaML 28 1 0 20 Jan 2023
Fair and Optimal Classification via Post-Processing Ruicheng Xian Lang Yin Han Zhao FaML 21 30 0 03 Nov 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 83 38 0 21 Sep 2022
Multiple Attribute Fairness: Application to Fraud Detection Meghanath Macha Yadagiri S. Ravindran Deepak Pai A. Narang V. Srivastava 35 1 0 28 Jul 2022
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors Beepul Bharti Paul H. Yi Jeremias Sulam 29 4 0 25 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 38 162 0 14 Jul 2022
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale A. Veldanda Ivan Brugere Jiahao Chen Sanghamitra Dutta Alan Mishler S. Garg 33 7 0 29 Jun 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 24 31 0 26 Jun 2022
FairGrad: Fairness Aware Gradient Descent Gaurav Maheshwari Michaël Perrot FaML 44 11 0 22 Jun 2022
Fairness-aware Model-agnostic Positive and Unlabeled Learning Ziwei Wu Jingrui He FaML 18 11 0 19 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 32 16 0 15 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 32 13 0 31 May 2022
Fair Bayes-Optimal Classifiers Under Predictive Parity Xianli Zeng Yan Sun Guang Cheng FaML 17 14 0 15 May 2022
Breaking Fair Binary Classification with Optimal Flipping Attacks Changhun Jo Jy-yong Sohn Kangwook Lee FaML 25 7 0 12 Apr 2022
Bayes-Optimal Classifiers under Group Fairness Xianli Zeng Yan Sun Guang Cheng FaML 21 23 0 20 Feb 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency Kunwoong Kim Ilsang Ohn Sara Kim Yongdai Kim 35 4 0 07 Feb 2022
Fair Active Learning: Solving the Labeling Problem in Insurance Romuald Elie Caroline Hillairet Franccois Hu Marc Juillard FaML 44 0 0 17 Dec 2021
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 29 326 0 13 Dec 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 21 61 0 27 Oct 2021
Fairness guarantee in multi-class classification Christophe Denis Romuald Elie Mohamed Hebiri Franccois Hu FaML 51 48 0 28 Sep 2021
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 32 94 0 27 Sep 2021
Your fairness may vary: Pretrained language model fairness in toxic text classification Ioana Baldini Dennis L. Wei Karthikeyan N. Ramamurthy Mikhail Yurochkin Moninder Singh 26 53 0 03 Aug 2021
Statistical Guarantees for Fairness Aware Plug-In Algorithms Drona Khurana S. Ravichandran Sparsh Jain N. Edakunni FaML 17 0 0 27 Jul 2021
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections Nabarun Deb Promit Ghosal B. Sen OT 13 70 0 04 Jul 2021
Teacher's pet: understanding and mitigating biases in distillation Michal Lukasik Srinadh Bhojanapalli A. Menon Sanjiv Kumar 18 25 0 19 Jun 2021
Classification with abstention but without disparities Nicolas Schreuder Evgenii Chzhen FaML 25 23 0 24 Feb 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 492 0 31 Dec 2020
FairBatch: Batch Selection for Model Fairness Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh VLM 14 128 0 03 Dec 2020