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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"

17 / 67 papers shown
Title
An Efficiency-boosting Client Selection Scheme for Federated Learning
  with Fairness Guarantee
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
Tiansheng Huang
Weiwei Lin
Wentai Wu
Ligang He
Keqin Li
Albert Y. Zomaya
FedML
142
232
0
03 Nov 2020
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
121
18
0
22 Oct 2020
How Do Fair Decisions Fare in Long-term Qualification?
How Do Fair Decisions Fare in Long-term Qualification?
Xueru Zhang
Ruibo Tu
Yang Liu
M. Liu
Hedvig Kjellström
Kun Zhang
Cheng Zhang
93
75
0
21 Oct 2020
POND: Pessimistic-Optimistic oNline Dispatching
POND: Pessimistic-Optimistic oNline Dispatching
Xin Liu
Bin Li
P. Shi
Lei Ying
49
13
0
20 Oct 2020
Diversity-Preserving K-Armed Bandits, Revisited
Diversity-Preserving K-Armed Bandits, Revisited
Hédi Hadiji
Sébastien Gerchinovitz
Jean-Michel Loubes
Gilles Stoltz
67
2
0
05 Oct 2020
Green Offloading in Fog-Assisted IoT Systems: An Online Perspective
  Integrating Learning and Control
Green Offloading in Fog-Assisted IoT Systems: An Online Perspective Integrating Learning and Control
Xin Gao
Xi Huang
Ziyu Shao
Yang Yang
48
1
0
01 Aug 2020
Multi-Armed Bandit Based Client Scheduling for Federated Learning
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
126
224
0
05 Jul 2020
Stochastic Network Utility Maximization with Unknown Utilities:
  Multi-Armed Bandits Approach
Stochastic Network Utility Maximization with Unknown Utilities: Multi-Armed Bandits Approach
Arun Verma
M. Hanawal
50
9
0
17 Jun 2020
Thompson Sampling for Combinatorial Semi-bandits with Sleeping Arms and
  Long-Term Fairness Constraints
Thompson Sampling for Combinatorial Semi-bandits with Sleeping Arms and Long-Term Fairness Constraints
Zhiming Huang
Yifan Xu
Bingshan Hu
Qipeng Wang
Jianping Pan
46
9
0
14 May 2020
Bandit Learning with Delayed Impact of Actions
Bandit Learning with Delayed Impact of Actions
Wei Tang
Chien-Ju Ho
Yang Liu
112
12
0
24 Feb 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey
Fairness in Learning-Based Sequential Decision Algorithms: A Survey
Xueru Zhang
M. Liu
FaML
154
51
0
14 Jan 2020
Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit
  and Coded Computing
Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing
Chien-Sheng Yang
Ramtin Pedarsani
A. Avestimehr
52
14
0
19 Dec 2019
Waiting but not Aging: Optimizing Information Freshness Under the Pull
  Model
Waiting but not Aging: Optimizing Information Freshness Under the Pull Model
Fengjiao Li
Yu Sang
Zhongdong Liu
Bin Li
Huasen Wu
Bo Ji
37
32
0
17 Dec 2019
Fair Contextual Multi-Armed Bandits: Theory and Experiments
Fair Contextual Multi-Armed Bandits: Theory and Experiments
Yifang Chen
Alex Cuellar
Haipeng Luo
Jignesh Modi
Heramb Nemlekar
Stefanos Nikolaidis
FaML
91
61
0
13 Dec 2019
Achieving Fairness in the Stochastic Multi-armed Bandit Problem
Achieving Fairness in the Stochastic Multi-armed Bandit Problem
Vishakha Patil
Ganesh Ghalme
V. Nair
Y. Narahari
FaML
69
119
0
23 Jul 2019
Multi-Armed Bandits with Fairness Constraints for Distributing Resources
  to Human Teammates
Multi-Armed Bandits with Fairness Constraints for Distributing Resources to Human Teammates
Houston Claure
Yifang Chen
Jignesh Modi
Malte Jung
Stefanos Nikolaidis
118
23
0
30 Jun 2019
Achieving Fairness in Stochastic Multi-armed Bandit Problem
Vishakha Patil
Ganesh Ghalme
V. Nair
Y. Narahari
FaML
81
5
0
27 May 2019
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