Fairness of Exposure in Stochastic Bandits

Fairness of Exposure in Stochastic Bandits

3 March 2021

Thorsten Joachims

Papers citing "Fairness of Exposure in Stochastic Bandits"

13 / 13 papers shown

Title
Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness Piyushi Manupriya Himanshu S. Jagarlapudi Ganesh Ghalme FaML 54 0 0 24 Feb 2025
Improved Regret Bounds for Online Fair Division with Bandit Learning Benjamin G. Schiffer Shirley Zhang 36 0 0 13 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 63 3 0 10 Jun 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
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking Yuta Saito Thorsten Joachims 11 24 0 15 Jun 2022
Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi A. Akhavan Johannes Falk Leonardo Cella Massimiliano Pontil FaML 21 8 0 07 Jun 2022
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 32 13 0 20 May 2022
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings Till Kletti J. Renders P. Loiseau 19 17 0 07 Feb 2022
Fairer LP-based Online Allocation via Analytic Center Guanting Chen Xiaocheng Li Yinyu Ye FaML 9 8 0 27 Oct 2021
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 56 11 0 10 Aug 2021
Correcting Exposure Bias for Link Recommendation Shantanu Gupta Hao Wang Zachary Chase Lipton Bernie Wang CML 24 34 0 13 Jun 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016