Fairness in Learning-Based Sequential Decision Algorithms: A Survey

14 January 2020

Papers citing "Fairness in Learning-Based Sequential Decision Algorithms: A Survey"

30 / 30 papers shown

Title
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 94 3 0 10 Jun 2024
Fair Contextual Multi-Armed Bandits: Theory and Experiments Yifang Chen Alex Cuellar Haipeng Luo Jignesh Modi Heramb Nemlekar Stefanos Nikolaidis FaML 48 61 0 13 Dec 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 501 4,308 0 23 Aug 2019
Achieving Fairness in the Stochastic Multi-armed Bandit Problem Vishakha Patil Ganesh Ghalme V. Nair Y. Narahari FaML 34 115 0 23 Jul 2019
Achieving Fairness in Stochastic Multi-armed Bandit Problem Vishakha Patil Ganesh Ghalme V. Nair Y. Narahari FaML 34 5 0 27 May 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 44 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 29 66 0 04 Mar 2019
Equal Opportunity in Online Classification with Partial Feedback Yahav Bechavod Katrina Ligett Aaron Roth Bo Waggoner Zhiwei Steven Wu FaML 35 60 0 06 Feb 2019
Combinatorial Sleeping Bandits with Fairness Constraints Fengjiao Li Jia-Wei Liu Bo Ji 47 160 0 15 Jan 2019
Individual Fairness in Hindsight Swati Gupta Vijay Kamble FaML 47 63 0 10 Dec 2018
From Fair Decision Making to Social Equality Hussein Mozannar Mesrob I. Ohannessian Nathan Srebro 42 99 0 07 Dec 2018
On preserving non-discrimination when combining expert advice Avrim Blum Suriya Gunasekar Thodoris Lykouris Nathan Srebro FaML 36 29 0 28 Oct 2018
Downstream Effects of Affirmative Action Sampath Kannan Aaron Roth Juba Ziani 57 87 0 27 Aug 2018
Fairness Without Demographics in Repeated Loss Minimization Tatsunori B. Hashimoto Megha Srivastava Hongseok Namkoong Percy Liang FaML 82 581 0 20 Jun 2018
Obtaining fairness using optimal transport theory E. del Barrio Fabrice Gamboa Paula Gordaliza Jean-Michel Loubes FaML 116 181 0 08 Jun 2018
iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making Preethi Lahoti Krishna P. Gummadi Gerhard Weikum FaML 56 169 0 04 Jun 2018
Enhancing the Accuracy and Fairness of Human Decision Making Isabel Valera Adish Singla Manuel Gomez Rodriguez 111 35 0 25 May 2018
Delayed Impact of Fair Machine Learning Lydia T. Liu Sarah Dean Esther Rolf Max Simchowitz Moritz Hardt FaML 75 475 0 12 Mar 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 154 1,094 0 06 Mar 2018
Online Learning with an Unknown Fairness Metric Stephen Gillen Christopher Jung Michael Kearns Aaron Roth FaML 60 143 0 20 Feb 2018
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World S. Shankar Yoni Halpern Eric Breck James Atwood Jimbo Wilson D. Sculley 65 293 0 22 Nov 2017
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 185 315 0 30 Oct 2017
Runaway Feedback Loops in Predictive Policing D. Ensign Sorelle A. Friedler Scott Neville C. Scheidegger Suresh Venkatasubramanian 53 345 0 29 Jun 2017
A Convex Framework for Fair Regression R. Berk Hoda Heidari S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Seth Neel Aaron Roth FaML 102 342 0 07 Jun 2017
Fairness in Reinforcement Learning S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 71 200 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 137 1,205 0 26 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 139 4,276 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 91 1,762 0 19 Sep 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 69 3,115 0 21 Jul 2016
Fairness in Learning: Classic and Contextual Bandits Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 47 473 0 23 May 2016