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Achieving Fairness in the Stochastic Multi-armed Bandit Problem

Achieving Fairness in the Stochastic Multi-armed Bandit Problem

23 July 2019
Vishakha Patil
Ganesh Ghalme
V. Nair
Y. Narahari
    FaML
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Papers citing "Achieving Fairness in the Stochastic Multi-armed Bandit Problem"

31 / 31 papers shown
Title
Bandit Max-Min Fair Allocation
Bandit Max-Min Fair Allocation
Tsubasa Harada
Shinji Ito
Hanna Sumita
56
0
0
08 May 2025
Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness
Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness
Piyushi Manupriya
Himanshu
S. Jagarlapudi
Ganesh Ghalme
FaML
59
0
0
24 Feb 2025
Fairness Aware Reinforcement Learning via Proximal Policy Optimization
Fairness Aware Reinforcement Learning via Proximal Policy Optimization
Gabriele La Malfa
Jie M. Zhang
Michael Luck
Elizabeth Black
77
0
0
06 Feb 2025
Improved Regret Bounds for Online Fair Division with Bandit Learning
Improved Regret Bounds for Online Fair Division with Bandit Learning
Benjamin G. Schiffer
Shirley Zhang
52
0
0
13 Jan 2025
On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit
On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit
Xiaoyi Wu
Bo Ji
Bin Li
FaML
59
0
0
01 Jan 2025
Long-Term Fairness in Sequential Multi-Agent Selection with Positive
  Reinforcement
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement
Bhagyashree Puranik
Ozgur Guldogan
Upamanyu Madhow
Ramtin Pedarsani
45
0
0
10 Jul 2024
Honor Among Bandits: No-Regret Learning for Online Fair Division
Honor Among Bandits: No-Regret Learning for Online Fair Division
Ariel D. Procaccia
Benjamin Schiffer
Shirley Zhang
FaML
34
2
0
01 Jul 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
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
73
3
0
10 Jun 2024
Fairness in Reinforcement Learning: A Survey
Fairness in Reinforcement Learning: A Survey
Anka Reuel
Devin Ma
OffRL
FaML
51
4
0
11 May 2024
$α$-Fair Contextual Bandits
ααα-Fair Contextual Bandits
Siddhant Chaudhary
Abhishek Sinha
FaML
48
0
0
22 Oct 2023
No-regret Algorithms for Fair Resource Allocation
No-regret Algorithms for Fair Resource Allocation
Abhishek Sinha
Ativ Joshi
Rajarshi Bhattacharjee
Cameron Musco
Mohammad Hajiesmaili
FaML
45
5
0
11 Mar 2023
Learning with Exposure Constraints in Recommendation Systems
Learning with Exposure Constraints in Recommendation Systems
Omer Ben-Porat
Rotem Torkan
29
12
0
02 Feb 2023
Pragmatic Fairness: Developing Policies with Outcome Disparity Control
Pragmatic Fairness: Developing Policies with Outcome Disparity Control
Limor Gultchin
Siyuan Guo
Alan Malek
Silvia Chiappa
R. Silva
31
1
0
28 Jan 2023
RISE: Robust Individualized Decision Learning with Sensitive Variables
RISE: Robust Individualized Decision Learning with Sensitive Variables
Xiaoqing Ellen Tan
Zhengling Qi
C. Seymour
Lu Tang
OffRL
26
8
0
12 Nov 2022
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes
Cheryl J. Flynn
Aritra Guha
S. Majumdar
D. Srivastava
Zhen-Xiong Zhou
27
0
0
08 Nov 2022
Socially Fair Reinforcement Learning
Socially Fair Reinforcement Learning
Debmalya Mandal
Jiarui Gan
OffRL
30
13
0
26 Aug 2022
Group Meritocratic Fairness in Linear Contextual Bandits
Group Meritocratic Fairness in Linear Contextual Bandits
Riccardo Grazzi
A. Akhavan
Johannes Falk
Leonardo Cella
Massimiliano Pontil
FaML
32
1
0
07 Jun 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems
Lequn Wang
Thorsten Joachims
30
22
0
30 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice
Survey on Fair Reinforcement Learning: Theory and Practice
Pratik Gajane
A. Saxena
M. Tavakol
George Fletcher
Mykola Pechenizkiy
FaML
OffRL
49
13
0
20 May 2022
Modeling Attrition in Recommender Systems with Departing Bandits
Modeling Attrition in Recommender Systems with Departing Bandits
Omer Ben-Porat
Lee Cohen
Liu Leqi
Zachary Chase Lipton
Yishay Mansour
21
11
0
25 Mar 2022
Fairer LP-based Online Allocation via Analytic Center
Fairer LP-based Online Allocation via Analytic Center
Guanting Chen
Xiaocheng Li
Yinyu Ye
FaML
23
8
0
27 Oct 2021
Adaptive Data Debiasing through Bounded Exploration
Adaptive Data Debiasing through Bounded Exploration
Yifan Yang
Yang Liu
Parinaz Naghizadeh
FaML
32
7
0
25 Oct 2021
Fairness-Aware Online Meta-learning
Fairness-Aware Online Meta-learning
Chengli Zhao
Feng Chen
B. Thuraisingham
FaML
42
34
0
21 Aug 2021
Bandit Algorithms for Precision Medicine
Bandit Algorithms for Precision Medicine
Yangyi Lu
Ziping Xu
Ambuj Tewari
68
11
0
10 Aug 2021
Fairness in Ranking under Uncertainty
Fairness in Ranking under Uncertainty
Ashudeep Singh
David Kempe
Thorsten Joachims
38
49
0
14 Jul 2021
Fair Exploration via Axiomatic Bargaining
Fair Exploration via Axiomatic Bargaining
Jackie Baek
Vivek F. Farias
FaML
18
28
0
04 Jun 2021
Fairness of Exposure in Stochastic Bandits
Fairness of Exposure in Stochastic Bandits
Lequn Wang
Yiwei Bai
Wen Sun
Thorsten Joachims
FaML
29
49
0
03 Mar 2021
Efficient Learning-based Scheduling for Information Freshness in
  Wireless Networks
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
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
Fairness in Learning-Based Sequential Decision Algorithms: A Survey
Xueru Zhang
M. Liu
FaML
48
51
0
14 Jan 2020
Combinatorial Sleeping Bandits with Fairness Constraints
Combinatorial Sleeping Bandits with Fairness Constraints
Fengjiao Li
Jia-Wei Liu
Bo Ji
30
159
0
15 Jan 2019
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