Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning

15 March 2020

Max Simchowitz

Papers citing "Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning"

20 / 20 papers shown

Title
A Longitudinal Analysis of YouTube's Promotion of Conspiracy Videos Marc Faddoul Guillaume Chaslot Hany Farid 21 80 0 06 Mar 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
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 44 89 0 01 May 2019
Noise-tolerant fair classification A. Lamy Ziyuan Zhong A. Menon Nakul Verma NoLa 47 76 0 30 Jan 2019
From Fair Decision Making to Social Equality Hussein Mozannar Mesrob I. Ohannessian Nathan Srebro 37 99 0 07 Dec 2018
Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved Jiahao Chen Nathan Kallus Xiaojie Mao G. Svacha Madeleine Udell 31 231 0 27 Nov 2018
Fair Algorithms for Learning in Allocation Problems Hadi Elzayn S. Jabbari Christopher Jung Michael Kearns Seth Neel Aaron Roth Zachary Schutzman FaML 24 96 0 30 Aug 2018
Welfare and Distributional Impacts of Fair Classification Lily Hu Yiling Chen FaML 19 24 0 03 Jul 2018
Proxy Fairness Maya R. Gupta Andrew Cotter M. M. Fard S. Wang 39 71 0 28 Jun 2018
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification Michael P. Kim Amirata Ghorbani James Zou MLAU 188 337 0 31 May 2018
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations Biswajit Paria Kirthevasan Kandasamy Barnabás Póczós 90 126 0 30 May 2018
Delayed Impact of Fair Machine Learning Lydia T. Liu Sarah Dean Esther Rolf Max Simchowitz Moritz Hardt FaML 67 475 0 12 Mar 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 106 775 0 14 Nov 2017
Runaway Feedback Loops in Predictive Policing D. Ensign Sorelle A. Friedler Scott Neville C. Scheidegger Suresh Venkatasubramanian 50 345 0 29 Jun 2017
Avoiding Discrimination through Causal Reasoning Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf FaML CML 88 579 0 08 Jun 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 285 2,098 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 124 4,276 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 84 1,762 0 19 Sep 2016
On the relation between accuracy and fairness in binary classification Indrė Žliobaitė FaML 35 196 0 21 May 2015