Fair Contextual Multi-Armed Bandits: Theory and Experiments

Fair Contextual Multi-Armed Bandits: Theory and Experiments

13 December 2019

Heramb Nemlekar

Stefanos Nikolaidis

Papers citing "Fair Contextual Multi-Armed Bandits: Theory and Experiments"

13 / 13 papers shown

Title
Improved Regret Bounds for Online Fair Division with Bandit Learning Benjamin G. Schiffer Shirley Zhang 43 0 0 13 Jan 2025
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement Bhagyashree Puranik Ozgur Guldogan Upamanyu Madhow Ramtin Pedarsani 35 0 0 10 Jul 2024
Honor Among Bandits: No-Regret Learning for Online Fair Division Ariel D. Procaccia Benjamin Schiffer Shirley Zhang FaML 34 2 0 01 Jul 2024
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 45 4 0 21 Nov 2023
$α$ -Fair Contextual Bandits Siddhant Chaudhary Abhishek Sinha FaML 39 0 0 22 Oct 2023
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate Yuancheng Xu Chenghao Deng Yanchao Sun Ruijie Zheng Xiyao Wang Jieyu Zhao Furong Huang 37 4 0 07 Sep 2023
Learning with Exposure Constraints in Recommendation Systems Omer Ben-Porat Rotem Torkan 29 12 0 02 Feb 2023
Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi A. Akhavan Johannes Falk Leonardo Cella Massimiliano Pontil FaML 32 8 0 07 Jun 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems Lequn Wang Thorsten Joachims 30 22 0 30 May 2022
Fairer LP-based Online Allocation via Analytic Center Guanting Chen Xiaocheng Li Yinyu Ye FaML 23 8 0 27 Oct 2021
Fairness of Exposure in Stochastic Bandits Lequn Wang Yiwei Bai Wen Sun Thorsten Joachims FaML 29 49 0 03 Mar 2021
Achieving User-Side Fairness in Contextual Bandits Wen Huang Kevin Labille Xintao Wu Dongwon Lee Neil T. Heffernan FaML 87 18 0 22 Oct 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 48 51 0 14 Jan 2020