Wasserstein Fair Classification

28 July 2019

Papers citing "Wasserstein Fair Classification"

35 / 35 papers shown

Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 32 1 0 09 May 2025
ReLU integral probability metric and its applications Yuha Park Kunwoong Kim Insung Kong Yongdai Kim 48 0 0 26 Apr 2025
M $^2$ FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness Jansen S. B. Pereira Giovani Valdrighi Marcos Medeiros Raimundo FaML 39 0 0 16 Apr 2025
Learning with Differentially Private (Sliced) Wasserstein Gradients Clément Lalanne Jean-Michel Loubes David Rodríguez-Vítores FedML 46 0 0 03 Feb 2025
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 53 0 0 31 Aug 2024
On the (In)Compatibility between Group Fairness and Individual Fairness Shizhou Xu Thomas Strohmer FaML 19 2 0 13 Jan 2024
Fair Wasserstein Coresets Zikai Xiong Niccolò Dalmasso Shubham Sharma Freddy Lecue Daniele Magazzeni Vamsi K. Potluru T. Balch Manuela Veloso 34 2 0 09 Nov 2023
A Survey on Fairness in Large Language Models Yingji Li Mengnan Du Rui Song Xin Wang Ying Wang ALM 52 60 0 20 Aug 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 37 10 0 16 Jun 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 40 4 0 19 May 2023
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint Chia-Yuan Chang Jiayi Yuan Sirui Ding Qiaoyu Tan Kai Zhang Xiaoqian Jiang Xia Hu Na Zou FaML 32 9 0 24 Mar 2023
Robust probabilistic inference via a constrained transport metric Abhisek Chakraborty A. Bhattacharya D. Pati 33 3 0 17 Mar 2023
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes Tennison Liu Alex J. Chan B. V. Breugel M. Schaar FaML 25 2 0 11 Nov 2022
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles Ling Tal Arbel Boyu Wang Christian Gagné 46 37 0 19 Oct 2022
Equal Experience in Recommender Systems Jaewoong Cho Moonseok Choi Changho Suh FaML 20 1 0 12 Oct 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 32 22 0 10 Jun 2022
Prototype Based Classification from Hierarchy to Fairness Mycal Tucker J. Shah FaML 19 6 0 27 May 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 41 28 0 26 May 2022
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy Limor Gultchin Vincent Cohen-Addad Sophie Giffard-Roisin Varun Kanade Frederik Mallmann-Trenn 29 4 0 24 May 2022
Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables S. Centorrino J. Florens Jean-Michel Loubes FaML 20 1 0 16 Feb 2022
Obtaining Dyadic Fairness by Optimal Transport Moyi Yang Junjie Sheng Xiangfeng Wang Wenyan Liu Bo Jin Jun Wang H. Zha 27 6 0 09 Feb 2022
Optimal Transport of Classifiers to Fairness Maarten Buyl T. D. Bie FaML 13 10 0 08 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
Modeling Techniques for Machine Learning Fairness: A Survey Mingyang Wan Daochen Zha Ninghao Liu Na Zou SyDa FaML 30 36 0 04 Nov 2021
Fair Tree Classifier using Strong Demographic Parity António Pereira Barata Frank W. Takes H. J. Herik C. Veenman 18 12 0 18 Oct 2021
Fairness guarantee in multi-class classification Christophe Denis Romuald Elie Mohamed Hebiri Franccois Hu FaML 43 48 0 28 Sep 2021
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics Paula Czarnowska Yogarshi Vyas Kashif Shah 21 104 0 28 Jun 2021
FairCanary: Rapid Continuous Explainable Fairness Avijit Ghosh Aalok Shanbhag Christo Wilson 11 20 0 13 Jun 2021
Understanding and Mitigating Accuracy Disparity in Regression Jianfeng Chi Yuan Tian Geoffrey J. Gordon Han Zhao 27 25 0 24 Feb 2021
A case for new neural network smoothness constraints Mihaela Rosca T. Weber Arthur Gretton S. Mohamed AAML 33 48 0 14 Dec 2020
Fair Regression with Wasserstein Barycenters Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil 19 100 0 12 Jun 2020
A Variational Approach to Privacy and Fairness Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund FaML DRL 19 25 0 11 Jun 2020
Causal Feature Selection for Algorithmic Fairness Sainyam Galhotra Karthikeyan Shanmugam P. Sattigeri Kush R. Varshney FaML 28 39 0 10 Jun 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 15 38 0 26 May 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 329 4,223 0 23 Aug 2019