v1v2 (latest)

Unintended Selection: Persistent Qualification Rate Disparities and Interventions

1 November 2021

Yang Liu

Papers citing "Unintended Selection: Persistent Qualification Rate Disparities and Interventions"

20 / 20 papers shown

Title
Generalization Error Bounds for Learning under Censored Feedback Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili 58 0 0 14 Apr 2024
How Do Fair Decisions Fare in Long-term Qualification? Xueru Zhang Ruibo Tu Yang Liu M. Liu Hedvig Kjellström Kun Zhang Cheng Zhang 85 75 0 21 Oct 2020
Bandit Learning with Delayed Impact of Actions Wei Tang Chien-Ju Ho Yang Liu 60 12 0 24 Feb 2020
Dynamic Modeling and Equilibria in Fair Decision Making Joshua H. Williams J. Zico Kolter FaML 51 14 0 15 Nov 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 75 60 0 02 May 2019
On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning Hoda Heidari Vedant Nanda Krishna P. Gummadi 52 67 0 04 Mar 2019
From Fair Decision Making to Social Equality Hussein Mozannar Mesrob I. Ohannessian Nathan Srebro 74 99 0 07 Dec 2018
The Disparate Effects of Strategic Manipulation Lily Hu Nicole Immorlica Jennifer Wortman Vaughan 144 167 0 27 Aug 2018
Delayed Impact of Fair Machine Learning Lydia T. Liu Sarah Dean Esther Rolf Max Simchowitz Moritz Hardt FaML 85 478 0 12 Mar 2018
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 211 316 0 30 Oct 2017
From Parity to Preference-based Notions of Fairness in Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi Adrian Weller FaML 94 208 0 30 Jun 2017
Runaway Feedback Loops in Predictive Policing D. Ensign Sorelle A. Friedler Scott Neville C. Scheidegger Suresh Venkatasubramanian 65 347 0 29 Jun 2017
Counterfactual Fairness Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo M. A. Silva FaML 230 1,587 0 20 Mar 2017
Fairness in Reinforcement Learning S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 79 203 0 09 Nov 2016
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 210 1,214 0 26 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 304 2,131 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,341 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 122 1,783 0 19 Sep 2016
Fairness in Learning: Classic and Contextual Bandits Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 66 477 0 23 May 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 212 1,996 0 11 Dec 2014