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Near-Optimal Collaborative Learning in Bandits

Near-Optimal Collaborative Learning in Bandits

31 May 2022
Clémence Réda
Sattar Vakili
E. Kaufmann
    FedML
ArXivPDFHTML

Papers citing "Near-Optimal Collaborative Learning in Bandits"

19 / 19 papers shown
Title
Near Optimal Best Arm Identification for Clustered Bandits
Near Optimal Best Arm Identification for Clustered Bandits
Yash
Nikhil Karamchandani
Avishek Ghosh
14
0
0
15 May 2025
Federated $\mathcal{X}$-armed Bandit with Flexible Personalisation
Federated X\mathcal{X}X-armed Bandit with Flexible Personalisation
Ali Arabzadeh
James A. Grant
David S. Leslie
FedML
21
0
0
11 Sep 2024
Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
Mengfan Xu
Diego Klabjan
AAML
26
0
0
06 Feb 2024
Fairness and Privacy Guarantees in Federated Contextual Bandits
Fairness and Privacy Guarantees in Federated Contextual Bandits
Sambhav Solanki
Shweta Jain
Sujit Gujar
FedML
36
0
0
05 Feb 2024
Harnessing the Power of Federated Learning in Federated Contextual
  Bandits
Harnessing the Power of Federated Learning in Federated Contextual Bandits
Chengshuai Shi
Ruida Zhou
Kun Yang
Cong Shen
FedML
21
0
0
26 Dec 2023
Optimal Regret Bounds for Collaborative Learning in Bandits
Optimal Regret Bounds for Collaborative Learning in Bandits
Amitis Shidani
Sattar Vakili
18
0
0
15 Dec 2023
Distributed Optimization via Kernelized Multi-armed Bandits
Distributed Optimization via Kernelized Multi-armed Bandits
Ayush Rai
Shaoshuai Mou
31
0
0
07 Dec 2023
Pure Exploration in Asynchronous Federated Bandits
Pure Exploration in Asynchronous Federated Bandits
Zichen Wang
Chuanhao Li
Chenyu Song
Lianghui Wang
Quanquan Gu
Huazheng Wang
FedML
25
1
0
17 Oct 2023
Byzantine-Resilient Decentralized Multi-Armed Bandits
Byzantine-Resilient Decentralized Multi-Armed Bandits
Jingxuan Zhu
Alec Koppel
Alvaro Velasquez
Ji Liu
13
6
0
11 Oct 2023
Regret Lower Bounds in Multi-agent Multi-armed Bandit
Regret Lower Bounds in Multi-agent Multi-armed Bandit
Mengfan Xu
Diego Klabjan
20
1
0
15 Aug 2023
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with
  Heterogeneous Rewards
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
Mengfan Xu
Diego Klabjan
20
5
0
08 Jun 2023
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
Ronshee Chawla
Daniel Vial
Sanjay Shakkottai
R. Srikant
12
4
0
30 May 2023
Communication-Efficient Collaborative Regret Minimization in Multi-Armed
  Bandits
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits
Nikolai Karpov
Qin Zhang
21
1
0
26 Jan 2023
Doubly Adversarial Federated Bandits
Doubly Adversarial Federated Bandits
Jialin Yi
Milan Vojnović
FedML
19
4
0
22 Jan 2023
Decision Market Based Learning For Multi-agent Contextual Bandit
  Problems
Decision Market Based Learning For Multi-agent Contextual Bandit Problems
Wenlong Wang
T. Pfeiffer
19
1
0
01 Dec 2022
Collaborative Algorithms for Online Personalized Mean Estimation
Collaborative Algorithms for Online Personalized Mean Estimation
Mahsa Asadi
A. Bellet
Odalric-Ambrym Maillard
Marc Tommasi
FedML
48
4
0
24 Aug 2022
Parallel Best Arm Identification in Heterogeneous Environments
Parallel Best Arm Identification in Heterogeneous Environments
Nikolai Karpov
Qin Zhang
38
8
0
16 Jul 2022
Collaborative Learning in Kernel-based Bandits for Distributed Users
Collaborative Learning in Kernel-based Bandits for Distributed Users
Sudeep Salgia
Sattar Vakili
Qing Zhao
FedML
34
6
0
16 Jul 2022
Federated Bandit: A Gossiping Approach
Federated Bandit: A Gossiping Approach
Zhaowei Zhu
Jingxuan Zhu
Ji Liu
Yang Liu
FedML
139
83
0
24 Oct 2020
1