Fairness guarantee in multi-class classification

28 September 2021

Romuald Elie

Papers citing "Fairness guarantee in multi-class classification"

30 / 30 papers shown

Title
The Cost of Local and Global Fairness in Federated Learning Yuying Duan Gelei Xu Yiyu Shi Michael Lemmon FedML 36 0 0 27 Mar 2025
Biased Heritage: How Datasets Shape Models in Facial Expression Recognition Iris Dominguez-Catena D. Paternain M. Galar Marybeth Defrance Maarten Buyl Tijl De Bie 56 0 0 05 Mar 2025
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks Hoin Jung T. Jang Xiaoqian Wang VLM 21 2 0 10 Oct 2024
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks Donald Loveland Danai Koutra 33 1 0 05 Oct 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 47 0 0 31 Aug 2024
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing Yuying Duan Yijun Tian Nitesh V. Chawla Michael Lemmon FedML 21 2 0 28 May 2024
Fairness Auditing with Multi-Agent Collaboration M. Vos Akash Dhasade Jade Garcia Bourrée Anne-Marie Kermarrec Erwan Le Merrer Benoit Rottembourg Gilles Tredan MLAU 8 1 0 13 Feb 2024
Geospatial Disparities: A Case Study on Real Estate Prices in Paris Agathe Fernandes Machado Franccois Hu Philipp Ratz E. Gallic Arthur Charpentier 22 1 0 29 Jan 2024
Parametric Fairness with Statistical Guarantees François Hu Philipp Ratz Arthur Charpentier FaML 11 1 0 31 Oct 2023
Post-hoc Bias Scoring Is Optimal For Fair Classification Wenlong Chen Yegor Klochkov Yang Liu FaML 19 6 0 09 Oct 2023
Using Property Elicitation to Understand the Impacts of Fairness Regularizers Jessie Finocchiaro FaML 22 0 0 20 Sep 2023
A Sequentially Fair Mechanism for Multiple Sensitive Attributes Franccois Hu Philipp Ratz Arthur Charpentier FaML 16 6 0 12 Sep 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 24 10 0 16 Jun 2023
Fair Without Leveling Down: A New Intersectional Fairness Definition Gaurav Maheshwari A. Bellet Pascal Denis Mikaela Keller FaML 21 1 0 21 May 2023
Learning Optimal Fair Scoring Systems for Multi-Class Classification Julien Rouzot Julien Ferry Marie-José Huguet FaML 11 8 0 11 Apr 2023
Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders Mukund Telukunta Venkata Sriram Siddhardh Nadendla 14 0 0 07 Apr 2023
How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations? Fanny Jourdan Titon Tshiongo Kaninku Nicholas M. Asher Jean-Michel Loubes Laurent Risser FaML 13 4 0 27 Feb 2023
Fair and Optimal Classification via Post-Processing Ruicheng Xian Lang Yin Han Zhao FaML 8 30 0 03 Nov 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 33 11 0 04 Jul 2022
Fair Machine Learning in Healthcare: A Review Qizhang Feng Mengnan Du Na Zou Xia Hu FaML 22 0 0 29 Jun 2022
FairGrad: Fairness Aware Gradient Descent Gaurav Maheshwari Michaël Perrot FaML 19 11 0 22 Jun 2022
Fair Generalized Linear Models with a Convex Penalty Hyungrok Do Preston J. Putzel Axel Martin Padhraic Smyth Judy Zhong FaML 7 14 0 18 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 19 16 0 15 Jun 2022
A Reduction to Binary Approach for Debiasing Multiclass Datasets Ibrahim M. Alabdulmohsin Jessica Schrouff Oluwasanmi Koyejo FaML MQ 32 9 0 31 May 2022
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy Nathanael Jo S. Aghaei A. Gómez P. Vayanos FaML 12 11 0 24 Jan 2022
Blackbox Post-Processing for Multiclass Fairness Preston J. Putzel Scott Lee FaML 12 18 0 12 Jan 2022
Fair Active Learning: Solving the Labeling Problem in Insurance Romuald Elie Caroline Hillairet Franccois Hu Marc Juillard FaML 34 0 0 17 Dec 2021
A Clarification of the Nuances in the Fairness Metrics Landscape Alessandro Castelnovo Riccardo Crupi Greta Greco D. Regoli Ilaria Giuseppina Penco A. Cosentini FaML 8 179 0 01 Jun 2021
Rule Generation for Classification: Scalability, Interpretability, and Fairness Tabea E. Rober Adia C. Lumadjeng M. Akyuz cS. .Ilker Birbil 14 2 0 21 Apr 2021
A statistical framework for fair predictive algorithms K. Lum J. Johndrow FaML 167 103 0 25 Oct 2016