Obtaining fairness using optimal transport theory

8 June 2018

Papers citing "Obtaining fairness using optimal transport theory"

44 / 44 papers shown

Title
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Zou Linjun Zhang FaML 98 4 0 13 Mar 2025
Fair Text Classification via Transferable Representations Thibaud Leteno Michael Perrot Charlotte Laclau Antoine Gourru Christophe Gravier FaML 93 0 0 10 Mar 2025
Learning with Differentially Private (Sliced) Wasserstein Gradients David Rodríguez-Vítores Clément Lalanne Jean-Michel Loubes FedML 51 0 0 03 Feb 2025
Efficient Fairness-Performance Pareto Front Computation Mark Kozdoba Binyamin Perets Shie Mannor 38 0 0 26 Sep 2024
Randomized Transport Plans via Hierarchical Fully Probabilistic Design Sarah Boufelja Anthony Quinn Robert Shorten OT 54 0 0 04 Aug 2024
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement Bhagyashree Puranik Ozgur Guldogan Upamanyu Madhow Ramtin Pedarsani 45 0 0 10 Jul 2024
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations Xiang Zhang 37 0 0 24 Mar 2024
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport Alireza Pirhadi Mohammad Hossein Moslemi Alexander Cloninger Mostafa Milani Babak Salimi 33 4 0 04 Mar 2024
Fair Wasserstein Coresets Zikai Xiong Niccolò Dalmasso Shubham Sharma Freddy Lecue Daniele Magazzeni Vamsi K. Potluru T. Balch Manuela Veloso 39 2 0 09 Nov 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 44 10 0 16 Jun 2023
Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness Evaluation Yifei Wang Zhengyang Zhou Liqin Wang John Laurentiev Peter Hou Li Zhou Pengyu Hong 35 0 0 29 May 2023
Consistent Optimal Transport with Empirical Conditional Measures Piyushi Manupriya Rachit Keerti Das Sayantan Biswas S. Jagarlapudi OT 50 3 0 25 May 2023
Runtime Monitoring of Dynamic Fairness Properties T. Henzinger Mahyar Karimi Konstantin Kueffner Kaushik Mallik 40 14 0 08 May 2023
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models Marouane Il Idrissi Nicolas Bousquet Fabrice Gamboa Bertrand Iooss Jean-Michel Loubes 55 3 0 23 Sep 2022
Fair mapping Sébastien Gambs Rosin Claude Ngueveu 42 0 0 01 Sep 2022
An improved central limit theorem and fast convergence rates for entropic transportation costs E. del Barrio Alberto González Sanz Jean-Michel Loubes Jonathan Niles-Weed OT 36 32 0 19 Apr 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 31 6 0 09 Feb 2022
Optimal Transport of Classifiers to Fairness Maarten Buyl T. D. Bie FaML 13 10 0 08 Feb 2022
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters Luc Brogat-Motte Rémi Flamary Céline Brouard Juho Rousu Florence dÁlché-Buc 38 19 0 08 Feb 2022
Fairness guarantee in multi-class classification Christophe Denis Romuald Elie Mohamed Hebiri Franccois Hu FaML 57 48 0 28 Sep 2021
Plugin Estimation of Smooth Optimal Transport Maps Tudor Manole Sivaraman Balakrishnan Jonathan Niles-Weed Larry A. Wasserman OT 33 92 0 26 Jul 2021
Sampling From the Wasserstein Barycenter Chiheb Daaloul Thibaut Le Gouic J. Liandrat M. I. O. Technology 20 6 0 04 May 2021
Fairness with Continuous Optimal Transport Silvia Chiappa Aldo Pacchiano OT 45 12 0 06 Jan 2021
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 28 61 0 18 Jul 2020
Fair Regression with Wasserstein Barycenters Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil 35 101 0 12 Jun 2020
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 15 40 0 26 May 2020
Projection to Fairness in Statistical Learning Thibaut Le Gouic Jean-Michel Loubes Philippe Rigollet 33 3 0 24 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 55 371 0 30 Apr 2020
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set Philippe C. Besse E. del Barrio Paula Gordaliza Jean-Michel Loubes Laurent Risser FaML 22 64 0 31 Mar 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 48 51 0 14 Jan 2020
Leveraging Semi-Supervised Learning for Fairness using Neural Networks Vahid Noroozi S. Bahaadini Samira Sheikhi Nooshin Mojab Philip S. Yu 8 7 0 31 Dec 2019
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space Q. Mérigot Alex Delalande Frédéric Chazal OT 27 44 0 14 Oct 2019
Estimation of Wasserstein distances in the Spiked Transport Model Jonathan Niles-Weed Philippe Rigollet 29 102 0 16 Sep 2019
Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization Laurent Risser Alberto González Sanz Quentin Vincenot Jean-Michel Loubes 30 21 0 15 Aug 2019
Wasserstein Fair Classification Ray Jiang Aldo Pacchiano T. Stepleton Heinrich Jiang Silvia Chiappa 33 174 0 28 Jul 2019
Statistical data analysis in the Wasserstein space Jérémie Bigot 27 29 0 19 Jul 2019
Learning Fair Representations for Kernel Models Zilong Tan Samuel Yeom Matt Fredrikson Ameet Talwalkar FaML 38 25 0 27 Jun 2019
FlipTest: Fairness Testing via Optimal Transport Emily Black Samuel Yeom Matt Fredrikson 30 94 0 21 Jun 2019
Minimax estimation of smooth optimal transport maps Jan-Christian Hütter Philippe Rigollet OT 29 28 0 14 May 2019
Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions Hao Wang Berk Ustun Flavio du Pin Calmon FaML 36 83 0 29 Jan 2019
Fairness risk measures Robert C. Williamson A. Menon FaML 36 135 0 24 Jan 2019
A statistical framework for fair predictive algorithms K. Lum J. Johndrow FaML 179 105 0 25 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016