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1912.08055
Cited By
Fair Contextual Multi-Armed Bandits: Theory and Experiments
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
13 December 2019
Yifang Chen
Alex Cuellar
Haipeng Luo
Jignesh Modi
Heramb Nemlekar
Stefanos Nikolaidis
FaML
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Papers citing
"Fair Contextual Multi-Armed Bandits: Theory and Experiments"
39 / 39 papers shown
Improved Regret Bounds for Online Fair Division with Bandit Learning
AAAI Conference on Artificial Intelligence (AAAI), 2025
Benjamin G. Schiffer
Shirley Zhang
267
5
0
13 Jan 2025
Fair Best Arm Identification with Fixed Confidence
IEEE Conference on Decision and Control (CDC), 2024
Alessio Russo
Filippo Vannella
323
2
0
30 Aug 2024
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement
Bhagyashree Puranik
Ozgur Guldogan
Upamanyu Madhow
Ramtin Pedarsani
255
2
0
10 Jul 2024
Honor Among Bandits: No-Regret Learning for Online Fair Division
Ariel D. Procaccia
Benjamin Schiffer
Shirley Zhang
FaML
297
9
0
01 Jul 2024
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization
Mengxiao Zhang
Ramiro Deo-Campo Vuong
Haipeng Luo
275
5
0
31 May 2024
Fairness of Exposure in Online Restless Multi-armed Bandits
Archit Sood
Shweta Jain
Sujit Gujar
195
2
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
208
1
0
08 Feb 2024
Fairness and Privacy Guarantees in Federated Contextual Bandits
Adaptive Agents and Multi-Agent Systems (AAMAS), 2024
Sambhav Solanki
Shweta Jain
Sujit Gujar
FedML
254
2
0
05 Feb 2024
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
AAAI Conference on Artificial Intelligence (AAAI), 2023
Shu-Fan Wang
Efstathia Soufleri
Jian Li
490
10
0
16 Dec 2023
Designing Long-term Group Fair Policies in Dynamical Systems
Conference on Fairness, Accountability and Transparency (FAccT), 2023
Miriam Rateike
Isabel Valera
Patrick Forré
377
9
0
21 Nov 2023
α
α
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-Fair Contextual Bandits
Siddhant Chaudhary
Abhishek Sinha
FaML
254
1
0
22 Oct 2023
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
International Conference on Machine Learning (ICML), 2023
Yuancheng Xu
Chenghao Deng
Yanchao Sun
Ruijie Zheng
Xiyao Wang
Jieyu Zhao
Furong Huang
511
7
0
07 Sep 2023
Time Fairness in Online Knapsack Problems
International Conference on Learning Representations (ICLR), 2023
Adam Lechowicz
Rik Sengupta
Bo Sun
Shahin Kamali
Mohammad Hajiesmaili
FaML
325
8
0
22 May 2023
BanditQ: Fair Bandits with Guaranteed Rewards
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Abhishek Sinha
FaML
302
6
0
11 Apr 2023
No-regret Algorithms for Fair Resource Allocation
Neural Information Processing Systems (NeurIPS), 2023
Abhishek Sinha
Ativ Joshi
Rajarshi Bhattacharjee
Cameron Musco
Mohammad Hajiesmaili
FaML
244
12
0
11 Mar 2023
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Arpita Biswas
J. Killian
Paula Rodriguez Diaz
Susobhan Ghosh
Milind Tambe
177
4
0
01 Mar 2023
Learning with Exposure Constraints in Recommendation Systems
The Web Conference (WWW), 2023
Omer Ben-Porat
Rotem Torkan
283
14
0
02 Feb 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities
Samer B. Nashed
Justin Svegliato
Su Lin Blodgett
FaML
365
7
0
13 Jan 2023
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Vishakha Patil
V. Nair
Ganesh Ghalme
Arindam Khan
305
5
0
19 Aug 2022
Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Dexun Li
Pradeep Varakantham
196
14
0
08 Jun 2022
Group Meritocratic Fairness in Linear Contextual Bandits
Neural Information Processing Systems (NeurIPS), 2022
Riccardo Grazzi
A. Akhavan
Johannes Falk
Leonardo Cella
Massimiliano Pontil
FaML
334
11
0
07 Jun 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems
Web Search and Data Mining (WSDM), 2022
Lequn Wang
Thorsten Joachims
379
27
0
30 May 2022
Multi-disciplinary fairness considerations in machine learning for clinical trials
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Isabel Chien
Nina Deliu
Richard Turner
Adrian Weller
S. Villar
Niki Kilbertus
FaML
194
26
0
18 May 2022
On Kernelized Multi-Armed Bandits with Constraints
Neural Information Processing Systems (NeurIPS), 2022
Xingyu Zhou
Bo Ji
245
41
0
29 Mar 2022
Towards Return Parity in Markov Decision Processes
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Jianfeng Chi
Jian Shen
Xinyi Dai
Weinan Zhang
Yuan Tian
Han Zhao
224
15
0
19 Nov 2021
Identifying Best Fair Intervention
Ruijiang Gao
Han Feng
FaML
160
0
0
08 Nov 2021
Fairer LP-based Online Allocation via Analytic Center
Guanting Chen
Xiaocheng Li
Yinyu Ye
FaML
275
8
0
27 Oct 2021
Recommendation Fairness: From Static to Dynamic
De-Fu Zhang
Jun Wang
OffRL
315
16
0
05 Sep 2021
Planning to Fairly Allocate: Probabilistic Fairness in the Restless Bandit Setting
Knowledge Discovery and Data Mining (KDD), 2021
Christine Herlihy
Aviva Prins
A. Srinivasan
John P. Dickerson
488
18
0
14 Jun 2021
Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
Pegah Nokhiz
Aravinda Kanchana Ruwanpathirana
Neal Patwari
Suresh Venkatasubramanian
374
10
0
24 Apr 2021
Fairness of Exposure in Stochastic Bandits
International Conference on Machine Learning (ICML), 2021
Lequn Wang
Yiwei Bai
Wen Sun
Thorsten Joachims
FaML
290
58
0
03 Mar 2021
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
Neural Information Processing Systems (NeurIPS), 2021
Xin Liu
Bin Li
P. Shi
Lei Ying
422
59
0
10 Feb 2021
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
AAAI Conference on Artificial Intelligence (AAAI), 2020
Lingda Wang
Bingcong Li
Huozhi Zhou
G. Giannakis
Lav Varshney
Zhizhen Zhao
328
9
0
10 Dec 2020
Achieving User-Side Fairness in Contextual Bandits
Wen Huang
Kevin Labille
Xintao Wu
Dongwon Lee
Neil T. Heffernan
FaML
338
21
0
22 Oct 2020
How Do Fair Decisions Fare in Long-term Qualification?
Xueru Zhang
Ruibo Tu
Yang Liu
M. Liu
Hedvig Kjellström
Kun Zhang
Cheng Zhang
211
83
0
21 Oct 2020
POND: Pessimistic-Optimistic oNline Dispatching
Xin Liu
Bin Li
P. Shi
Lei Ying
191
13
0
20 Oct 2020
Diversity-Preserving K-Armed Bandits, Revisited
Hédi Hadiji
Sébastien Gerchinovitz
Jean-Michel Loubes
Jean-Michel Poggi
314
3
0
05 Oct 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey
Xueru Zhang
M. Liu
FaML
375
59
0
14 Jan 2020
Group Fairness in Bandit Arm Selection
Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
Candice Schumann
Zhi Lang
Nicholas Mattei
John P. Dickerson
FaML
366
17
0
09 Dec 2019
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