Fair admission risk prediction with proportional multicalibration

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Fair admission risk prediction with proportional multicalibration

29 September 2022

William La Cava

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Papers citing "Fair admission risk prediction with proportional multicalibration"

16 / 16 papers shown

Title
Low-Degree Multicalibration Parikshit Gopalan Michael P. Kim M. Singhal Shengjia Zhao FaML UQCV 77 41 0 02 Mar 2022
Online Multivalid Learning: Means, Moments, and Prediction Intervals Varun Gupta Christopher Jung Georgy Noarov Mallesh M. Pai Aaron Roth 87 44 0 05 Jan 2021
Moment Multicalibration for Uncertainty Estimation Christopher Jung Changhwa Lee Mallesh M. Pai Aaron Roth R. Vohra UQCV 230 66 0 18 Aug 2020
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 70 157 0 01 Jun 2019
Identifying and Correcting Label Bias in Machine Learning Heinrich Jiang Ofir Nachum FaML 101 284 0 15 Jan 2019
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 194 416 0 20 Oct 2018
An Intersectional Definition of Fairness James R. Foulds Rashidul Islam Kamrun Naher Keya Shimei Pan FaML 61 190 0 22 Jul 2018
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification Michael P. Kim Amirata Ghorbani James Zou MLAU 248 345 0 31 May 2018
Calibration for the (Computationally-Identifiable) Masses Úrsula Hébert-Johnson Michael P. Kim Omer Reingold G. Rothblum FaML 60 88 0 22 Nov 2017
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 199 784 0 14 Nov 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 203 880 0 06 Sep 2017
A Convex Framework for Fair Regression R. Berk Hoda Heidari S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FaML 117 342 0 07 Jun 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 302 2,131 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,337 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 122 1,776 0 19 Sep 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 814 39,075 0 09 Mar 2016

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