Improving Fairness and Privacy in Selection Problems

Improving Fairness and Privacy in Selection Problems

7 December 2020

Mohammad Mahdi Khalili

Somayeh Sojoudi

Papers citing "Improving Fairness and Privacy in Selection Problems"

16 / 16 papers shown

Title
How Do Fair Decisions Fare in Long-term Qualification? Xueru Zhang Ruibo Tu Yang Liu M. Liu Hedvig Kjellström Kun Zhang Cheng Zhang 63 74 0 21 Oct 2020
Fair Learning with Private Demographic Data Hussein Mozannar Mesrob I. Ohannessian Nathan Srebro 45 75 0 26 Feb 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 48 121 0 21 Feb 2020
Fair Prediction with Endogenous Behavior Christopher Jung Sampath Kannan Changhwa Lee Mallesh M. Pai Aaron Roth R. Vohra FaML 41 37 0 18 Feb 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 114 51 0 14 Jan 2020
Equalized odds postprocessing under imperfect group information Pranjal Awasthi Matthäus Kleindessner Jamie Morgenstern 52 90 0 07 Jun 2019
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 41 156 0 01 Jun 2019
An Algorithmic Framework for Fairness Elicitation Christopher Jung Michael Kearns Seth Neel Aaron Roth Logan Stapleton Zhiwei Steven Wu FedML FaML 40 56 0 25 May 2019
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness Xueru Zhang Mohammadmahdi Khaliligarekani Cem Tekin M. Liu FaML 32 60 0 02 May 2019
Identifying and Correcting Label Bias in Machine Learning Heinrich Jiang Ofir Nachum FaML 67 281 0 15 Jan 2019
Individual Fairness in Hindsight Swati Gupta Vijay Kamble FaML 42 63 0 10 Dec 2018
Differentially Private Fair Learning Matthew Jagielski Michael Kearns Jieming Mao Alina Oprea Aaron Roth Saeed Sharifi-Malvajerdi Jonathan R. Ullman FaML FedML 80 149 0 06 Dec 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 130 1,094 0 06 Mar 2018
Selection Problems in the Presence of Implicit Bias Jon M. Kleinberg Manish Raghavan 39 92 0 04 Jan 2018
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 127 874 0 06 Sep 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 124 4,276 0 07 Oct 2016