Empirical Risk Minimization Under Fairness Constraints

Michele Donini, Luca Oneto, Shai Ben-David, John Shawe‐Taylor, Massimiliano Pontil

Type: Article

Publication Date: 2018-12-08

Citations: 143

Locations

arXiv (Cornell University) - View

Similar Works

Action	Title	Year	Authors
+	Empirical Risk Minimization under Fairness Constraints	2018	Michele Donini Luca Oneto Shai Ben-David John Shawe‐Taylor Massimiliano Pontil
+	Empirical Risk Minimization under Fairness Constraints	2018	Michele Donini Luca Oneto Shai Ben-David John Shawe‐Taylor Massimiliano Pontil
+	General Fair Empirical Risk Minimization	2019	Luca Oneto Michele Donini Massimiliano Pontil
+ PDF Chat	General Fair Empirical Risk Minimization	2020	Luca Oneto Michele Donini Massimiliano Pontil
+ PDF Chat	Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness	2022	Zhu Li Adrián Pérez-Suay Gustau Camps‐Valls Dino Sejdinović
+	The cost of fairness in classification	2017	Aditya Krishna Menon Robert C. Williamson
+	Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness	2019	Zhu Li Adrián Pérez-Suay Gustau Camps‐Valls Dino Sejdinović
+	A Stochastic Optimization Framework for Fair Risk Minimization	2021	Andrew M. Lowy Sina Baharlouei Rakesh Pavan Meisam Razaviyayn Ahmad Beirami
+	Oblivious Data for Fairness with Kernels	2020	Steffen Grünewälder Azadeh Khaleghi
+ PDF Chat	Fairness, Accuracy, and Unreliable Data	2024	Kevin Stangl
+ PDF Chat	RMF: A Risk Measurement Framework for Machine Learning Models	2024	Jan Schröder Jakub Breier
+	Empirical Bayes Fairness in Linear Regression	2024	Emilio Carrizosa Rafael Jiménez-Llamas Pepa Ramírez‐Cobo
+	Empirical Risk Minimization	2022	Alexander Jung
+	A Convex Framework for Fair Regression	2017	Richard A. Berk Hoda Heidari Shahin Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth
+	Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives	2023	Haoyang Liu Maheep Chaudhary Haohan Wang
+	Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes	2022	Tennison Liu Alex J. Chan Boris van Breugel Mihaela van der Schaar
+ PDF Chat	Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning	2024	Razieh Nabi Nima S. Hejazi Mark J. van der Laan David Benkeser
+	Fast Fair Regression via Efficient Approximations of Mutual Information	2020	Daniel Steinberg Alistair Reid Simon O’Callaghan Finnian Lattimore Lachlan McCalman Tibério S. Caetano
+	Tilted Empirical Risk Minimization	2020	Tian Li Ahmad Beirami Maziar Sanjabi Virginia Smith
+ PDF Chat	Non-Discriminatory Machine Learning through Convex Fairness Criteria	2018	Naman Goel Mohammad Yaghini Boi Faltings

Works That Cite This (117)

Action	Title	Year	Authors
+	Fairness Under Feature Exemptions: Counterfactual and Observational Measures	2021	Sanghamitra Dutta Praveen Venkatesh Piotr Mardziel Anupam Datta Pulkit Grover
+ PDF Chat	Explainable Deep Learning: A Field Guide for the Uninitiated	2022	Gabriëlle Ras Ning Xie Marcel van Gerven Derek Doran
+ PDF Chat	Estimating Kullback-Leibler Divergence Using Kernel Machines	2019	Kartik Ahuja
+	Out-of-Distribution Generalization via Risk Extrapolation (REx)	2020	David Krueger Ethan Caballero Joern-Henrik Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville
+	Fair Data Adaptation with Quantile Preservation	2019	Drago Plečko Nicolai Meinshausen
+	Learning from Discriminatory Training Data	2019	Przemyslaw A. Grabowicz Nicholas Perello Kenta Takatsu
+	Learning Fair Representations for Kernel Models	2019	Zilong Tan Samuel Yeom Matt Fredrikson Ameet Talwalkar
+	Multi-objective Asynchronous Successive Halving	2021	Robin Schmucker Michele Donini Muhammad Bilal Zafar David Salinas Cédric Archambeau
+	Fairness guarantee in multi-class classification	2021	Christophe Denis Romuald Élie Mohamed Hebiri François Hu
+	Fairness risk measures	2019	Robert C. Williamson Aditya Krishna Menon

Works Cited by This (0)

Action	Title	Year	Authors