Fairness of Exposure in Stochastic Bandits

3 March 2021

Papers citing "Fairness of Exposure in Stochastic Bandits"

35 / 35 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
Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints Udvas Das Debabrota Basu 26 0 0 24 Oct 2024
Stochastic Bandits for Egalitarian Assignment Eugene Lim Vincent Y. F. Tan Harold Soh 21 0 0 08 Oct 2024
Fair Best Arm Identification with Fixed Confidence Alessio Russo Filippo Vannella 19 0 0 30 Aug 2024
Online Fair Division with Contextual Bandits Arun Verma Indrajit Saha Makoto Yokoo Bryan Kian Hsiang Low 26 1 0 23 Aug 2024
Merit-based Fair Combinatorial Semi-Bandit with Unrestricted Feedback Delays Ziqun Chen Kechao Cai Zhuoyue Chen Jinbei Zhang John C. S. Lui FaML 26 0 0 22 Jul 2024
Honor Among Bandits: No-Regret Learning for Online Fair Division Ariel D. Procaccia Benjamin Schiffer Shirley Zhang FaML 29 2 0 01 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 66 3 0 10 Jun 2024
Fair Online Bilateral Trade F. Bachoc Nicolò Cesa-Bianchi Tommaso Cesari Roberto Colomboni 28 2 0 22 May 2024
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution History Yi Xu Weiran Shen Xiao Zhang Jun Xu OffRL 41 0 0 24 Mar 2024
Fairness of Exposure in Online Restless Multi-armed Bandits Archit Sood Shweta Jain Sujit Gujar 30 1 0 09 Feb 2024
Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits Subham Pokhriyal Shweta Jain Ganesh Ghalme Swapnil Dhamal Sujit Gujar 18 0 0 08 Feb 2024
Fairness and Privacy Guarantees in Federated Contextual Bandits Sambhav Solanki Shweta Jain Sujit Gujar FedML 36 0 0 05 Feb 2024
Pure Exploration in Bandits with Linear Constraints Emil Carlsson Debabrota Basu Fredrik D. Johansson Devdatt Dubhashi 34 2 0 22 Jun 2023
Interpolating Item and User Fairness in Multi-Sided Recommendations Qinyi Chen Jason Cheuk Nam Liang Negin Golrezaei Djallel Bouneffouf FaML 29 2 0 12 Jun 2023
On Penalization in Stochastic Multi-armed Bandits Guanhua Fang P. Li G. Samorodnitsky FaML 28 1 0 15 Nov 2022
Fast online ranking with fairness of exposure Nicolas Usunier Virginie Do Elvis Dohmatob 29 18 0 13 Sep 2022
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits Vishakha Patil V. Nair Ganesh Ghalme Arindam Khan 20 4 0 19 Aug 2022
Fair Ranking as Fair Division: Impact-Based Individual Fairness in Ranking Yuta Saito Thorsten Joachims 13 24 0 15 Jun 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Anton van den Hengel FaML 27 26 0 08 Jun 2022
Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi A. Akhavan Johannes Falk Leonardo Cella Massimiliano Pontil FaML 27 8 0 07 Jun 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems Lequn Wang Thorsten Joachims 22 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 38 13 0 20 May 2022
Ranked Prioritization of Groups in Combinatorial Bandit Allocation Lily Xu Arpita Biswas Fei Fang Milind Tambe 11 3 0 11 May 2022
The price of unfairness in linear bandits with biased feedback Solenne Gaucher Alexandra Carpentier Christophe Giraud FaML 11 2 0 18 Mar 2022
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings Till Kletti J. Renders P. Loiseau 24 17 0 07 Feb 2022
Online Fair Revenue Maximizing Cake Division with Non-Contiguous Pieces in Adversarial Bandits Mohammad Ghodsi Amirmahdi Mirfakhar 17 2 0 29 Nov 2021
Fairer LP-based Online Allocation via Analytic Center Guanting Chen Xiaocheng Li Yinyu Ye FaML 16 8 0 27 Oct 2021
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 59 11 0 10 Aug 2021
Correcting Exposure Bias for Link Recommendation Shantanu Gupta Hao Wang Zachary Chase Lipton Bernie Wang CML 34 34 0 13 Jun 2021
Diversity-Preserving K-Armed Bandits, Revisited Hédi Hadiji Sébastien Gerchinovitz Jean-Michel Loubes Gilles Stoltz 26 2 0 05 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 32 615 0 04 Oct 2020
Group Fairness in Bandit Arm Selection Candice Schumann Zhi Lang Nicholas Mattei John P. Dickerson FaML 14 15 0 09 Dec 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,087 0 24 Oct 2016