Fair Kernel Learning

Fair Kernel Learning

16 October 2017

Adrián Pérez-Suay

Gonzalo Mateo-García

Jordi Munoz-Marí

L. Gómez-Chova

Gustau Camps-Valls

Papers citing "Fair Kernel Learning"

17 / 17 papers shown

Title
Intersectional Divergence: Measuring Fairness in Regression Joe Germino Nuno Moniz Nitesh V. Chawla FaML 65 0 0 01 May 2025
On the Nonconvexity of Push-Forward Constraints and Its Consequences in Machine Learning Lucas de Lara Mathis Deronzier Alberto González Sanz Virgile Foy 20 0 0 12 Mar 2024
A statistical approach to detect sensitive features in a group fairness setting G. D. Pelegrina Miguel Couceiro L. Duarte 8 3 0 11 May 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge S. Bouabid Jake Fawkes Dino Sejdinovic CML 38 0 0 26 Jan 2023
Fairness-aware Regression Robust to Adversarial Attacks Yulu Jin Lifeng Lai FaML OOD 18 4 0 04 Nov 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 80 38 0 21 Sep 2022
Error Parity Fairness: Testing for Group Fairness in Regression Tasks Furkan Gursoy I. Kakadiaris 22 4 0 16 Aug 2022
Attainability and Optimality: The Equalized Odds Fairness Revisited Zeyu Tang Kun Zhang FaML 16 11 0 24 Feb 2022
Learning Fair Canonical Polyadical Decompositions using a Kernel Independence Criterion Kevin Kim Alex Gittens 13 1 0 27 Apr 2021
Towards a Collective Agenda on AI for Earth Science Data Analysis D. Tuia R. Roscher Jan Dirk Wegner Nathan Jacobs Xiaoxiang Zhu Gustau Camps-Valls AI4CE 39 68 0 11 Apr 2021
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 13 38 0 26 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 29 371 0 30 Apr 2020
Fair Kernel Regression via Fair Feature Embedding in Kernel Space Austin Okray Hui Hu Chao Lan FaML 16 4 0 04 Jul 2019
Pairwise Fairness for Ranking and Regression Harikrishna Narasimhan Andrew Cotter Maya R. Gupta S. Wang 16 111 0 12 Jun 2019
Fair Regression: Quantitative Definitions and Reduction-based Algorithms Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 16 240 0 30 May 2019
Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport Meike Zehlike P. Hacker Emil Wiedemann 13 19 0 21 Dec 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016