Online Learning with an Unknown Fairness Metric

20 February 2018

Papers citing "Online Learning with an Unknown Fairness Metric"

27 / 27 papers shown

Title
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement Bhagyashree Puranik Ozgur Guldogan Upamanyu Madhow Ramtin Pedarsani 21 0 0 10 Jul 2024
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 60 3 0 10 Jun 2024
Fairness in Reinforcement Learning: A Survey Anka Reuel Devin Ma OffRL FaML 26 4 0 11 May 2024
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History Yi Xu Weiran Shen Xiao Zhang Jun Xu OffRL 36 0 0 24 Mar 2024
Online Learning with Unknown Constraints Karthik Sridharan Seung Won Wilson Yoo 19 2 0 06 Mar 2024
Matrix Estimation for Individual Fairness Cindy Y. Zhang Sarah H. Cen Devavrat Shah FaML 23 4 0 04 Feb 2023
Pragmatic Fairness: Developing Policies with Outcome Disparity Control Limor Gultchin Siyuan Guo Alan Malek Silvia Chiappa R. Silva 13 1 0 28 Jan 2023
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems Lequn Wang Thorsten Joachims 17 22 0 30 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 30 13 0 20 May 2022
On Learning and Enforcing Latent Assessment Models using Binary Feedback from Human Auditors Regarding Black-Box Classifiers Mukund Telukunta Venkata Sriram Siddhardh Nadendla MLAU FaML 20 0 0 16 Feb 2022
Fairer LP-based Online Allocation via Analytic Center Guanting Chen Xiaocheng Li Yinyu Ye FaML 9 8 0 27 Oct 2021
Fairness-Aware Online Meta-learning Chengli Zhao Feng Chen B. Thuraisingham FaML 31 34 0 21 Aug 2021
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 53 11 0 10 Aug 2021
Fair Exploration via Axiomatic Bargaining Jackie Baek Vivek F. Farias FaML 14 28 0 04 Jun 2021
Fairness of Exposure in Stochastic Bandits Lequn Wang Yiwei Bai Wen Sun Thorsten Joachims FaML 13 48 0 03 Mar 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
Achieving User-Side Fairness in Contextual Bandits Wen Huang Kevin Labille Xintao Wu Dongwon Lee Neil T. Heffernan FaML 76 18 0 22 Oct 2020
Aligning AI With Shared Human Values Dan Hendrycks Collin Burns Steven Basart Andrew Critch J. Li D. Song Jacob Steinhardt 32 515 0 05 Aug 2020
Fair Performance Metric Elicitation G. Hiranandani Harikrishna Narasimhan Oluwasanmi Koyejo 24 18 0 23 Jun 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data Debarghya Mukherjee Mikhail Yurochkin Moulinath Banerjee Yuekai Sun FaML 24 96 0 19 Jun 2020
Optimal Contextual Pricing and Extensions Allen Liu R. Leme Jon Schneider 23 1 0 03 Mar 2020
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness Samuel Yeom Matt Fredrikson AAML 11 26 0 18 Feb 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 37 51 0 14 Jan 2020
Average Individual Fairness: Algorithms, Generalization and Experiments Michael Kearns Aaron Roth Saeed Sharifi-Malvajerdi FaML FedML 9 84 0 25 May 2019
Fair Decisions Despite Imperfect Predictions Niki Kilbertus Manuel Gomez Rodriguez Bernhard Schölkopf Krikamol Muandet Isabel Valera FaML OffRL 20 5 0 08 Feb 2019
Fairness Under Composition Cynthia Dwork Christina Ilvento FaML 17 124 0 15 Jun 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016