Combinatorial Sleeping Bandits with Fairness Constraints

15 January 2019

Papers citing "Combinatorial Sleeping Bandits with Fairness Constraints"

19 / 19 papers shown

Title
Bandit Max-Min Fair Allocation Tsubasa Harada Shinji Ito Hanna Sumita 51 0 0 08 May 2025
Fairness Aware Reinforcement Learning via Proximal Policy Optimization Gabriele La Malfa Jie M. Zhang Michael Luck Elizabeth Black 69 0 0 06 Feb 2025
Improved Regret Bounds for Online Fair Division with Bandit Learning Benjamin G. Schiffer Shirley Zhang 36 0 0 13 Jan 2025
On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit Xiaoyi Wu Bo Ji Bin Li FaML 41 0 0 01 Jan 2025
Honor Among Bandits: No-Regret Learning for Online Fair Division Ariel D. Procaccia Benjamin Schiffer Shirley Zhang FaML 24 2 0 01 Jul 2024
$α$ -Fair Contextual Bandits Siddhant Chaudhary Abhishek Sinha FaML 31 0 0 22 Oct 2023
Improving Fairness in Adaptive Social Exergames via Shapley Bandits Robert C. Gray Jennifer Villareale T. Fox Diane H Dallal Santiago Ontañón D. Arigo S. Jabbari Jichen Zhu 21 4 0 18 Feb 2023
Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi A. Akhavan Johannes Falk Leonardo Cella Massimiliano Pontil FaML 24 8 0 07 Jun 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 35 13 0 20 May 2022
Fairer LP-based Online Allocation via Analytic Center Guanting Chen Xiaocheng Li Yinyu Ye FaML 16 8 0 27 Oct 2021
Joint AP Probing and Scheduling: A Contextual Bandit Approach Tianyi Xu Ding Zhang Parth H. Pathak Zizhan Zheng 11 1 0 06 Aug 2021
Low-Latency Federated Learning over Wireless Channels with Differential Privacy Kang Wei Jun Li Chuan Ma Ming Ding Cailian Chen Shi Jin Zhu Han H. Vincent Poor FedML 27 73 0 20 Jun 2021
Fairness of Exposure in Stochastic Bandits Lequn Wang Yiwei Bai Wen Sun Thorsten Joachims FaML 16 48 0 03 Mar 2021
Efficient Learning-based Scheduling for Information Freshness in Wireless Networks Bin Li 20 22 0 01 Jan 2021
Achieving User-Side Fairness in Contextual Bandits Wen Huang Kevin Labille Xintao Wu Dongwon Lee Neil T. Heffernan FaML 81 18 0 22 Oct 2020
Multi-Armed Bandit Based Client Scheduling for Federated Learning Wenchao Xia Tony Q. S. Quek Kun Guo Wanli Wen Howard H. Yang Hongbo Zhu FedML 49 218 0 05 Jul 2020
Stochastic Network Utility Maximization with Unknown Utilities: Multi-Armed Bandits Approach Arun Verma M. Hanawal 13 8 0 17 Jun 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 40 51 0 14 Jan 2020
Matroid Bandits: Fast Combinatorial Optimization with Learning B. Kveton Zheng Wen Azin Ashkan Hoda Eydgahi Brian Eriksson 41 119 0 20 Mar 2014