Fetching the paper…
Reading the bibliography…
In the context of regression, we consider the fundamental question of making an estimator fair while preserving its prediction accuracy as much as possible.
“Topics in Optimal Transportation” Google-Books-ID: idyFAwAAQBAJ
Cédric Villani · 2003
Earlier work this paper cites.
“A Distribution-Free Theory of Nonparametric Regression”
László Györfi, Michael Kohler, Adam Krzyzak and Harro Walk · 2006
Earlier work this paper cites.
“Optimal transport: Old and new”
C. Villani · 2008
Earlier work this paper cites.
“Introduction to nonparametric estimation”, Springer Series in Statistics
Alexandre. Tsybakov · 2009
Earlier work this paper cites.
“Barycenters in the Wasserstein space”
M. Agueh and G. Carlier · 2011
Earlier work this paper cites.
“Sinkhorn Distances: Lightspeed Computation of Optimal Transport”
M. Cuturi · 2013
Earlier work this paper cites.
“On the Mean Speed of Convergence of Empirical and Occupation Measures in Wasserstein Distance”
Emmanuel Boissard and Thibaut Le · 2014
Earlier work this paper cites.
“Fast Computation of Wasserstein Barycenters”
Marco Cuturi and Arnaud Doucet · 2014
Earlier work this paper cites.
“Distribution’s template estimate with Wasserstein metrics”
Emmanuel Boissard, Thibaut Le and Jean-Michel Loubes · 2015
Earlier work this paper cites.
“Certifying and removing disparate impact”
Michael Feldman, Sorelle Friedler, John Moeller, Carlos Scheidegger and Suresh Venkatasubramanian · 2015
Earlier work this paper cites.
“Optimal transport for applied mathematicians”
F. Santambrogio · 2015
Earlier work this paper cites.
“Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains”
Justin Solomon, Fernando De, Gabriel Peyré, Marco Cuturi, Adrian Butscher, Andy Nguyen, Tao Du and Leonidas Guibas · 2015
Earlier work this paper cites.
“A fixed-point approach to barycenters in Wasserstein space”
Pedro. Álvarez-Esteban, E. del Barrio, J.A. Cuesta-Albertos and C. Matrán · 2016
Earlier work this paper cites.
“Big data’s disparate impact”
Solon Barocas and Andrew Selbst · 2016
Earlier work this paper cites.
“Data-driven discrimination at work”
Pauline Kim · 2016
Earlier work this paper cites.
“Fair prediction with disparate impact: A study of bias in recidivism prediction instruments”
Alexandra Chouldechova · 2017
Cited alongside, same era.
“Existence and consistency of Wasserstein barycenters”
Thibaut Le and J.-M. Loubes · 2017
Cited alongside, same era.
“Amazon scraps secret AI recruiting tool that showed bias against women”
Jeffrey Dastin · 2018
Cited alongside, same era.
“The accuracy, fairness, and limits of predicting recidivism”
Julia Dressel and Hany Farid · 2018
Cited alongside, same era.
“The cost of fairness in binary classification”
Aditya Menon and Robert Williamson · 2018
Cited alongside, same era.
“Fair Regression: Quantitative Definitions and Reduction-based Algorithms”
Alekh Agarwal, Miroslav Dudík and Zhiwei Wu · 2019
Cited alongside, same era.
“Statistical Inference for Bures-Wasserstein Barycenters”
Alexey Kroshnin, Vladimir Spokoiny and Alexandra Suvorikova · 2019
Later among the works it cites.
“Fast Convergence of Empirical Barycenters in Alexandrov Spaces and the Wasserstein Space”
Thibaut Le, Quentin Paris, Philippe Rigollet and Austin. Stromme · 2019
Later among the works it cites.
“Sharp Asymptotic and Finite-Sample Rates of Convergence of Empirical Measures in Wasserstein Distance”
Jonathan Weed and Francis Bach · 2019
Later among the works it cites.
Robert. Williamson and Aditya Krishna Menon · 2019
Later among the works it cites.
“Fairness Constraints: A Flexible Approach for Fair Classification”
Muhammad Zafar, Isabel Valera, Manuel Gomez-Rodriguez and Krishna. Gummadi · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
“Convergence Rates for Empirical Barycenters in Metric Spaces: Curvature, Convexity and Extendable Geodesics”
Adil Ahidar-Coutrix, Thibaut Le and Quentin Paris · 2019
Cited alongside, same era.
“A central limit theorem for L p L_{p} transportation cost on the real line with application to fairness assessment in machine learning”
Eustasio Del, Paula Gordaliza and Jean-Michel Loubes · 2019
Cited alongside, same era.
“A General Framework for Fair Regression”
Jack Fitzsimons, AbdulRahman Al, Michael Osborne and Stephen Roberts · 2019
Cited alongside, same era.
“A comparative study of fairness-enhancing interventions in machine learning”
Sorelle Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan Hamilton and Derek Roth · 2019
Cited alongside, same era.
“Obtaining fairness using optimal transport theory”
Paula Gordaliza, Eustasio Del, Gamboa Fabrice and Jean-Michel Loubes · 2019
Cited alongside, same era.
Sergey Guminov, Pavel Dvurechensky, Nazarii Tupitsa and Alexander Gasnikov · 2019
Cited alongside, same era.
Later among the works it cites.
“High-Precision Wasserstein Barycenters in Polynomial Time”
Jason. Altschuler and Enric Boix-Adsera · 2020
Closest in time.
Philippe Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes and Laurent Risser · 2020
Closest in time.
“Gradient Descent Algorithms for Bures-Wasserstein Barycenters”
Sinho Chewi, Tyler Maunu, Philippe Rigollet and Austin. Stromme · 2020
Closest in time.
“Fair Regression via Plug-in Estimator and Recalibration With Statistical Guarantees” working paper or preprint, 2020
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto and Massimiliano Pontil · 2020
Closest in time.
“Fair Regression with Wasserstein Barycenters”
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri, Luca Oneto and Massimiliano Pontil · 2020
Closest in time.
Darina Dvinskikh · 2020
Closest in time.
“Fixed-support Wasserstein barycenters: Computational hardness and fast algorithm”
Tianyi Lin, Nhat Ho, Xi Chen, Marco Cuturi and Michael. Jordan · 2020
Closest in time.
“Fairness in Machine Learning”
Luca Oneto and Silvia Chiappa · 2020
Closest in time.
“Matching code and law: achieving algorithmic fairness with optimal transport”
Meike Zehlike, Philipp Hacker and Emil Wiedemann · 2020
Closest in time.