Multiaccurate Proxies for Downstream Fairness

Multiaccurate Proxies for Downstream Fairness

9 July 2021

Saeed Sharifi-Malvajerdi

Papers citing "Multiaccurate Proxies for Downstream Fairness"

18 / 18 papers shown

Title
Fairness without Sensitive Attributes via Knowledge Sharing Hongliang Ni Lei Han Tong Chen S. Sadiq Gianluca Demartini 26 2 0 27 Sep 2024
Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto 19 0 0 27 Jun 2024
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning Kangkang Sun Xiaojin Zhang Xi Lin Gaolei Li Jing Wang Jianhua Li 25 4 0 30 Nov 2023
Fairness Under Demographic Scarce Regime Patrik Joslin Kenfack Samira Ebrahimi Kahou Ulrich Aivodji 31 3 0 24 Jul 2023
Balanced Filtering via Disclosure-Controlled Proxies Siqi Deng Emily Diana Michael Kearns Aaron Roth 17 0 0 26 Jun 2023
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making Luke M. Guerdan Amanda Coston Zhiwei Steven Wu Kenneth Holstein CML 17 26 0 13 Feb 2023
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes Lunjia Hu Charlotte Peale 14 6 0 16 Nov 2022
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes Zhaowei Zhu Yuanshun Yao Jiankai Sun Hanguang Li Y. Liu 14 21 0 06 Oct 2022
Multicalibrated Regression for Downstream Fairness Ira Globus-Harris Varun Gupta Christopher Jung Michael Kearns Jamie Morgenstern Aaron Roth FaML 45 11 0 15 Sep 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 26 159 0 14 Jul 2022
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning Marc Juárez Aleksandra Korolova FedML 28 9 0 24 Jun 2022
Context matters for fairness -- a case study on the effect of spatial distribution shifts Siamak Ghodsi Harith Alani Eirini Ntoutsi 7 2 0 23 Jun 2022
Distributionally Robust Data Join Pranjal Awasthi Christopher Jung Jamie Morgenstern OOD 11 3 0 11 Feb 2022
Simple and near-optimal algorithms for hidden stratification and multi-group learning Abdoreza Asadpour Daniel J. Hsu 89 20 0 22 Dec 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 148 39 0 12 Oct 2021
Lexicographically Fair Learning: Algorithms and Generalization Emily Diana Wesley Gill Ira Globus-Harris Michael Kearns Aaron Roth Saeed Sharifi-Malvajerdi FedML FaML 65 9 0 16 Feb 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
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016