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Achieving Fairness in the Stochastic Multi-armed Bandit Problem

23 July 2019

Papers citing "Achieving Fairness in the Stochastic Multi-armed Bandit Problem"

36 / 36 papers shown

Title
Fair Algorithms with Probing for Multi-Agent Multi-Armed Bandits Tianyi Xu Jiaxin Liu Zizhan Zheng FaML 55 0 0 17 Jun 2025
Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness Piyushi Manupriya Himanshu S. Jagarlapudi Ganesh Ghalme FaML 118 0 0 21 Feb 2025
On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit Xiaoyi Wu Bo Ji Bin Li FaML 128 0 0 01 Jan 2025
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 124 4 0 10 Jun 2024
Fair Online Bilateral Trade François Bachoc Nicolò Cesa-Bianchi Tommaso Cesari Roberto Colomboni 73 3 0 22 May 2024
Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health J. Killian Manish Jain Yugang Jia Jonathan Amar Erich Huang Milind Tambe 42 6 0 17 Aug 2023
No-regret Algorithms for Fair Resource Allocation Abhishek Sinha Ativ Joshi Rajarshi Bhattacharjee Cameron Musco Mohammad Hajiesmaili FaML 68 8 0 11 Mar 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities Samer B. Nashed Justin Svegliato Su Lin Blodgett FaML 58 6 0 13 Jan 2023
On Penalization in Stochastic Multi-armed Bandits Guanhua Fang P. Li G. Samorodnitsky FaML 45 1 0 15 Nov 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables Xiaoqing Ellen Tan Zhengling Qi C. Seymour Lu Tang OffRL 65 8 0 12 Nov 2022
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes Cheryl J. Flynn Aritra Guha S. Majumdar D. Srivastava Zhen-Xiong Zhou 29 0 0 08 Nov 2022
An Efficient Algorithm for Fair Multi-Agent Multi-Armed Bandit with Low Regret Matthew D. Jones Huy Le Nguyen Thy Nguyen FaML 140 8 0 23 Sep 2022
Socially Fair Reinforcement Learning Debmalya Mandal Jiarui Gan OffRL 75 13 0 26 Aug 2022
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits Vishakha Patil V. Nair Ganesh Ghalme Arindam Khan 73 4 0 19 Aug 2022
Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi A. Akhavan Johannes Falk Leonardo Cella Massimiliano Pontil FaML 64 9 0 07 Jun 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 99 15 0 20 May 2022
Multi-disciplinary fairness considerations in machine learning for clinical trials Isabel Chien Nina Deliu Richard Turner Adrian Weller S. Villar Niki Kilbertus FaML 71 23 0 18 May 2022
Towards Return Parity in Markov Decision Processes Jianfeng Chi Jian Shen Xinyi Dai Weinan Zhang Yuan Tian Han Zhao 64 14 0 19 Nov 2021
Fairer LP-based Online Allocation via Analytic Center Guanting Chen Xiaocheng Li Yinyu Ye FaML 116 8 0 27 Oct 2021
Adaptive Data Debiasing through Bounded Exploration Yifan Yang Yang Liu Parinaz Naghizadeh FaML 88 7 0 25 Oct 2021
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making Alex Chohlas-Wood Madison Coots Henry Zhu Emma Brunskill Sharad Goel FaML 84 25 0 18 Sep 2021
Recommendation Fairness: From Static to Dynamic De-Fu Zhang Jun Wang OffRL 72 15 0 05 Sep 2021
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 111 14 0 10 Aug 2021
Fairness in Ranking under Uncertainty Ashudeep Singh David Kempe Thorsten Joachims 80 50 0 14 Jul 2021
Fair Exploration via Axiomatic Bargaining Jackie Baek Vivek F. Farias FaML 83 29 0 04 Jun 2021
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability Pegah Nokhiz Aravinda Kanchana Ruwanpathirana Neal Patwari Suresh Venkatasubramanian 123 8 0 24 Apr 2021
Fairness of Exposure in Stochastic Bandits Lequn Wang Yiwei Bai Wen Sun Thorsten Joachims FaML 81 50 0 03 Mar 2021
Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment Ganesh Ghalme V. Nair Vishakha Patil Yilun Zhou 76 5 0 14 Feb 2021
Efficient Learning-based Scheduling for Information Freshness in Wireless Networks Bin Li 37 22 0 01 Jan 2021
Achieving User-Side Fairness in Contextual Bandits Wen Huang Kevin Labille Xintao Wu Dongwon Lee Neil T. Heffernan FaML 121 18 0 22 Oct 2020
How Do Fair Decisions Fare in Long-term Qualification? Xueru Zhang Ruibo Tu Yang Liu M. Liu Hedvig Kjellström Kun Zhang Cheng Zhang 93 75 0 21 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 110 654 0 04 Oct 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 154 51 0 14 Jan 2020
Fair Contextual Multi-Armed Bandits: Theory and Experiments Yifang Chen Alex Cuellar Haipeng Luo Jignesh Modi Heramb Nemlekar Stefanos Nikolaidis FaML 91 61 0 13 Dec 2019
Policy-Gradient Training of Fair and Unbiased Ranking Functions Himank Yadav Zhengxiao Du Thorsten Joachims 87 42 0 19 Nov 2019
Combinatorial Sleeping Bandits with Fairness Constraints Fengjiao Li Jia-Wei Liu Bo Ji 90 162 0 15 Jan 2019