Downstream Effects of Affirmative Action

27 August 2018

Papers citing "Downstream Effects of Affirmative Action"

22 / 22 papers shown

Title
Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security Pegah Nokhiz Aravinda Kanchana Ruwanpathirana Aditya Bhaskara Suresh Venkatasubramanian 35 0 0 10 Apr 2025
Systemic Fairness Arindam Ray B. Padmanabhan Lina Bouayad FaML 27 0 0 14 Apr 2023
Fundamental Bounds on Online Strategic Classification Saba Ahmadi Avrim Blum Kunhe Yang 39 10 0 23 Feb 2023
Counterfactuals for the Future Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 33 10 0 07 Dec 2022
Modelling the long-term fairness dynamics of data-driven targeted help on job seekers S. Scher Simone Kopeinik A. Trugler Dominik Kowald 45 9 0 17 Aug 2022
Towards Substantive Conceptions of Algorithmic Fairness: Normative Guidance from Equal Opportunity Doctrines Falaah Arif Khan Eleni Manis Julia Stoyanovich FaML 22 15 0 06 Jul 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 40 13 0 20 May 2022
Evaluation Gaps in Machine Learning Practice Ben Hutchinson Negar Rostamzadeh Christina Greer Katherine A. Heller Vinodkumar Prabhakaran ELM 41 56 0 11 May 2022
Achieving Long-Term Fairness in Sequential Decision Making Yaowei Hu Lu Zhang 31 20 0 04 Apr 2022
The Long Arc of Fairness: Formalisations and Ethical Discourse Pola Schwöbel Peter Remmers 32 18 0 08 Mar 2022
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features Stelios Boulitsakis-Logothetis FaML 24 5 0 23 Feb 2022
Multiaccurate Proxies for Downstream Fairness Emily Diana Wesley Gill Michael Kearns K. Kenthapadi Aaron Roth Saeed Sharifi-Malvajerdi 35 21 0 09 Jul 2021
Disaggregated Interventions to Reduce Inequality Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 42 13 0 01 Jul 2021
Addressing the Long-term Impact of ML Decisions via Policy Regret David Lindner Hoda Heidari Andreas Krause OffRL 25 6 0 02 Jun 2021
Fair Prediction with Endogenous Behavior Christopher Jung Sampath Kannan Changhwa Lee Mallesh M. Pai Aaron Roth R. Vohra FaML 28 36 0 18 Feb 2020
Pipeline Interventions Eshwar Ram Arunachaleswaran Sampath Kannan Aaron Roth Juba Ziani 30 7 0 16 Feb 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 48 51 0 14 Jan 2020
Fair Data Adaptation with Quantile Preservation Drago Plečko N. Meinshausen 14 30 0 15 Nov 2019
Efficient Fair Principal Component Analysis Mohammad Mahdi Kamani Farzin Haddadpour R. Forsati M. Mahdavi 13 36 0 12 Nov 2019
Causal Modeling for Fairness in Dynamical Systems Elliot Creager David Madras T. Pitassi R. Zemel 29 67 0 18 Sep 2019
Bias In, Bias Out? Evaluating the Folk Wisdom Ashesh Rambachan J. Roth FaML 32 31 0 18 Sep 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016