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Combinatorial Sleeping Bandits with Fairness Constraints
v1v2v3 (latest)

Combinatorial Sleeping Bandits with Fairness Constraints

15 January 2019
Fengjiao Li
Jia-Wei Liu
Bo Ji
ArXiv (abs)PDFHTML

Papers citing "Combinatorial Sleeping Bandits with Fairness Constraints"

50 / 67 papers shown
Title
SDialog: A Python Toolkit for Synthetic Dialogue Generation and Analysis
SDialog: A Python Toolkit for Synthetic Dialogue Generation and Analysis
Sergio Burdisso
Esaú Villatoro-Tello
P. Motlícek
99
0
0
12 Jun 2025
Bandit Max-Min Fair Allocation
Bandit Max-Min Fair Allocation
Tsubasa Harada
Shinji Ito
Hanna Sumita
81
0
0
08 May 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
147
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
76
2
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
128
0
0
01 Jan 2025
Stochastic Bandits for Egalitarian Assignment
Stochastic Bandits for Egalitarian Assignment
Eugene Lim
Vincent Y. F. Tan
Harold Soh
82
1
0
08 Oct 2024
A Green Multi-Attribute Client Selection for Over-The-Air Federated
  Learning: A Grey-Wolf-Optimizer Approach
A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Abdoulaye Baniré Diallo
M. Sadik
58
1
0
16 Sep 2024
Fair Best Arm Identification with Fixed Confidence
Fair Best Arm Identification with Fixed Confidence
Alessio Russo
Filippo Vannella
95
0
0
30 Aug 2024
Resource Efficient Asynchronous Federated Learning for Digital Twin
  Empowered IoT Network
Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network
Shunfeng Chu
Jun Li
Jianxin Wang
Yiyang Ni
Kang Wei
Wen Chen
Shi Jin
97
0
0
26 Aug 2024
Merit-based Fair Combinatorial Semi-Bandit with Unrestricted Feedback
  Delays
Merit-based Fair Combinatorial Semi-Bandit with Unrestricted Feedback Delays
Ziqun Chen
Kechao Cai
Zhuoyue Chen
Jinbei Zhang
John C. S. Lui
FaML
110
0
0
22 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
69
4
0
01 Jul 2024
Fair Online Bilateral Trade
Fair Online Bilateral Trade
François Bachoc
Nicolò Cesa-Bianchi
Tommaso Cesari
Roberto Colomboni
73
3
0
22 May 2024
Structured Reinforcement Learning for Delay-Optimal Data Transmission in
  Dense mmWave Networks
Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks
Shu-Fan Wang
Guojun Xiong
Shichen Zhang
Huacheng Zeng
Jian Li
Shivendra Panwar
48
0
0
25 Apr 2024
Fairness of Exposure in Online Restless Multi-armed Bandits
Fairness of Exposure in Online Restless Multi-armed Bandits
Archit Sood
Shweta Jain
Sujit Gujar
59
2
0
09 Feb 2024
Simultaneously Achieving Group Exposure Fairness and Within-Group
  Meritocracy in Stochastic Bandits
Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits
Subham Pokhriyal
Shweta Jain
Ganesh Ghalme
Swapnil Dhamal
Sujit Gujar
45
1
0
08 Feb 2024
$α$-Fair Contextual Bandits
ααα-Fair Contextual Bandits
Siddhant Chaudhary
Abhishek Sinha
FaML
64
0
0
22 Oct 2023
BanditQ: Fair Bandits with Guaranteed Rewards
BanditQ: Fair Bandits with Guaranteed Rewards
Abhishek Sinha
FaML
63
4
0
11 Apr 2023
Energy Regularized RNNs for Solving Non-Stationary Bandit Problems
Energy Regularized RNNs for Solving Non-Stationary Bandit Problems
Michael Rotman
Lior Wolf
53
1
0
12 Mar 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
68
8
0
11 Mar 2023
Improving Fairness in Adaptive Social Exergames via Shapley Bandits
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
55
4
0
18 Feb 2023
Fairness and Sequential Decision Making: Limits, Lessons, and
  Opportunities
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities
Samer B. Nashed
Justin Svegliato
Su Lin Blodgett
FaML
58
6
0
13 Jan 2023
Online Learning for Adaptive Probing and Scheduling in Dense WLANs
Online Learning for Adaptive Probing and Scheduling in Dense WLANs
Tianyi Xu
Ding Zhang
Zizhan Zheng
25
3
0
27 Dec 2022
Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits
Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits
Guojun Xiong
Jiaqiang Li
87
1
0
12 Dec 2022
On Penalization in Stochastic Multi-armed Bandits
On Penalization in Stochastic Multi-armed Bandits
Guanhua Fang
P. Li
G. Samorodnitsky
FaML
45
1
0
15 Nov 2022
Learning While Scheduling in Multi-Server Systems with Unknown
  Statistics: MaxWeight with Discounted UCB
Learning While Scheduling in Multi-Server Systems with Unknown Statistics: MaxWeight with Discounted UCB
Zixi Yang
R. Srikant
Lei Ying
41
9
0
02 Sep 2022
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee
  for Improving Bandits
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits
Vishakha Patil
V. Nair
Ganesh Ghalme
Arindam Khan
73
4
0
19 Aug 2022
Towards Soft Fairness in Restless Multi-Armed Bandits
Towards Soft Fairness in Restless Multi-Armed Bandits
Dexun Li
Pradeep Varakantham
47
5
0
27 Jul 2022
Efficient Resource Allocation with Fairness Constraints in Restless
  Multi-Armed Bandits
Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits
Dexun Li
Pradeep Varakantham
74
9
0
08 Jun 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
62
9
0
07 Jun 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
FaMLOffRL
99
15
0
20 May 2022
Ranked Prioritization of Groups in Combinatorial Bandit Allocation
Ranked Prioritization of Groups in Combinatorial Bandit Allocation
Lily Xu
Arpita Biswas
Fei Fang
Milind Tambe
67
3
0
11 May 2022
On Kernelized Multi-Armed Bandits with Constraints
On Kernelized Multi-Armed Bandits with Constraints
Xingyu Zhou
Bo Ji
69
30
0
29 Mar 2022
Socially-Optimal Mechanism Design for Incentivized Online Learning
Socially-Optimal Mechanism Design for Incentivized Online Learning
Zhiyuan Wang
Lin Gao
Jianwei Huang
48
11
0
29 Dec 2021
Decentralized Task Offloading in Edge Computing: A Multi-User
  Multi-Armed Bandit Approach
Decentralized Task Offloading in Edge Computing: A Multi-User Multi-Armed Bandit Approach
Xiong Wang
Jiancheng Ye
John C. S. Lui
8
64
0
22 Dec 2021
Identifying Best Fair Intervention
Identifying Best Fair Intervention
Ruijiang Gao
Han Feng
FaML
24
0
0
08 Nov 2021
Fairer LP-based Online Allocation via Analytic Center
Fairer LP-based Online Allocation via Analytic Center
Guanting Chen
Xiaocheng Li
Yinyu Ye
FaML
116
8
0
27 Oct 2021
Contextual Combinatorial Bandits with Changing Action Sets via Gaussian
  Processes
Contextual Combinatorial Bandits with Changing Action Sets via Gaussian Processes
Andi Nika
Sepehr Elahi
Cem Tekin
116
2
0
05 Oct 2021
Recommendation Fairness: From Static to Dynamic
Recommendation Fairness: From Static to Dynamic
De-Fu Zhang
Jun Wang
OffRL
72
15
0
05 Sep 2021
Joint AP Probing and Scheduling: A Contextual Bandit Approach
Joint AP Probing and Scheduling: A Contextual Bandit Approach
Tianyi Xu
Ding Zhang
Parth H. Pathak
Zizhan Zheng
21
2
0
06 Aug 2021
Federated Learning with Fair Worker Selection: A Multi-Round Submodular
  Maximization Approach
Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach
Fengjiao Li
Jia Liu
Bo Ji
FedML
44
4
0
25 Jul 2021
Low-Latency Federated Learning over Wireless Channels with Differential
  Privacy
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
102
74
0
20 Jun 2021
Planning to Fairly Allocate: Probabilistic Fairness in the Restless
  Bandit Setting
Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting
Christine Herlihy
Aviva Prins
A. Srinivasan
John P. Dickerson
68
15
0
14 Jun 2021
Sleeping Combinatorial Bandits
Sleeping Combinatorial Bandits
Kumar Abhishek
Ganesh Ghalme
Sujit Gujar
Y. Narahari
26
0
0
03 Jun 2021
Precarity: Modeling the Long Term Effects of Compounded Decisions on
  Individual Instability
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability
Pegah Nokhiz
Aravinda Kanchana Ruwanpathirana
Neal Patwari
Suresh Venkatasubramanian
123
8
0
24 Apr 2021
Fairness of Exposure in Stochastic Bandits
Fairness of Exposure in Stochastic Bandits
Lequn Wang
Yiwei Bai
Wen Sun
Thorsten Joachims
FaML
81
50
0
03 Mar 2021
Long-Term Resource Allocation Fairness in Average Markov Decision
  Process (AMDP) Environment
Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment
Ganesh Ghalme
V. Nair
Vishakha Patil
Yilun Zhou
76
5
0
14 Feb 2021
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear
  Bandits with General Constraints
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
Xin Liu
Bin Li
P. Shi
Lei Ying
52
48
0
10 Feb 2021
DEAL: Decremental Energy-Aware Learning in a Federated System
DEAL: Decremental Energy-Aware Learning in a Federated System
Wenting Zou
Li Li
Zichen Xu
Chengzhong Xu
FedML
30
0
0
05 Feb 2021
Efficient Learning-based Scheduling for Information Freshness in
  Wireless Networks
Efficient Learning-based Scheduling for Information Freshness in Wireless Networks
Bin Li
32
22
0
01 Jan 2021
A Regret bound for Non-stationary Multi-Armed Bandits with Fairness
  Constraints
A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints
Ranga Shaarad Ayyagari
Ambedkar Dukkipati
FaML
21
1
0
24 Dec 2020
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