On preserving non-discrimination when combining expert advice

On preserving non-discrimination when combining expert advice

28 October 2018

Suriya Gunasekar

Thodoris Lykouris

Papers citing "On preserving non-discrimination when combining expert advice"

12 / 12 papers shown

Title
Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi A. Akhavan Johannes Falk Leonardo Cella Massimiliano Pontil FaML 27 8 0 07 Jun 2022
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features Stelios Boulitsakis-Logothetis FaML 16 5 0 23 Feb 2022
Fairer LP-based Online Allocation via Analytic Center Guanting Chen Xiaocheng Li Yinyu Ye FaML 16 8 0 27 Oct 2021
Fairness of Exposure in Stochastic Bandits Lequn Wang Yiwei Bai Wen Sun Thorsten Joachims FaML 24 49 0 03 Mar 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information Pranjal Awasthi Alex Beutel Matthaeus Kleindessner Jamie Morgenstern Xuezhi Wang FaML 54 55 0 16 Feb 2021
Fairness with Continuous Optimal Transport Silvia Chiappa Aldo Pacchiano OT 40 12 0 06 Jan 2021
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 40 51 0 14 Jan 2020
Defining AI in Policy versus Practice P. Krafft Meg Young Michael A. Katell Karen Huang Ghislain Bugingo 6 82 0 23 Dec 2019
Equal Opportunity in Online Classification with Partial Feedback Yahav Bechavod Katrina Ligett Aaron Roth Bo Waggoner Zhiwei Steven Wu FaML 16 60 0 06 Feb 2019
Fair Personalization L. E. Celis Nisheeth K. Vishnoi FaML 31 17 0 07 Jul 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016
Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 114 49 0 19 Jul 2015