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Collaborative Learning with Limited Interaction: Tight Bounds for
  Distributed Exploration in Multi-Armed Bandits

Collaborative Learning with Limited Interaction: Tight Bounds for Distributed Exploration in Multi-Armed Bandits

5 April 2019
Chao Tao
Qin Zhang
Yuanshuo Zhou
    FedML
ArXivPDFHTML

Papers citing "Collaborative Learning with Limited Interaction: Tight Bounds for Distributed Exploration in Multi-Armed Bandits"

16 / 16 papers shown
Title
Near Optimal Best Arm Identification for Clustered Bandits
Near Optimal Best Arm Identification for Clustered Bandits
Yash
Nikhil Karamchandani
Avishek Ghosh
33
0
0
15 May 2025
Optimal Streaming Algorithms for Multi-Armed Bandits
Optimal Streaming Algorithms for Multi-Armed Bandits
Tianyuan Jin
Keke Huang
Jing Tang
Xiaokui Xiao
46
13
0
23 Oct 2024
Batched Stochastic Bandit for Nondegenerate Functions
Batched Stochastic Bandit for Nondegenerate Functions
Yu Liu
Yunlu Shu
Tianyu Wang
57
0
0
09 May 2024
Optimal Batched Best Arm Identification
Optimal Batched Best Arm Identification
Tianyuan Jin
Yu Yang
Jing Tang
Xiaokui Xiao
Pan Xu
51
3
0
21 Oct 2023
Communication-Efficient Collaborative Regret Minimization in Multi-Armed
  Bandits
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits
Nikolai Karpov
Qin Zhang
39
1
0
26 Jan 2023
Distributed Linear Bandits under Communication Constraints
Distributed Linear Bandits under Communication Constraints
Sudeep Salgia
Qing Zhao
48
7
0
04 Nov 2022
Federated Best Arm Identification with Heterogeneous Clients
Federated Best Arm Identification with Heterogeneous Clients
Zhirui Chen
P. Karthik
Vincent Y. F. Tan
Yeow Meng Chee
FedML
57
8
0
14 Oct 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
83
4
0
24 Aug 2022
Almost Cost-Free Communication in Federated Best Arm Identification
Almost Cost-Free Communication in Federated Best Arm Identification
Kota Srinivas Reddy
P. Karthik
Vincent Y. F. Tan
FedML
49
11
0
19 Aug 2022
Parallel Best Arm Identification in Heterogeneous Environments
Parallel Best Arm Identification in Heterogeneous Environments
Nikolai Karpov
Qin Zhang
55
8
0
16 Jul 2022
Near-Optimal Collaborative Learning in Bandits
Near-Optimal Collaborative Learning in Bandits
Clémence Réda
Sattar Vakili
E. Kaufmann
FedML
45
21
0
31 May 2022
Collaborative Pure Exploration in Kernel Bandit
Collaborative Pure Exploration in Kernel Bandit
Yihan Du
Wei Chen
Yuko Kuroki
Longbo Huang
53
10
0
29 Oct 2021
Online Learning for Cooperative Multi-Player Multi-Armed Bandits
Online Learning for Cooperative Multi-Player Multi-Armed Bandits
William Chang
Mehdi Jafarnia-Jahromi
Rahul Jain
31
7
0
07 Sep 2021
Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to
  Adversarial Corruptions
Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions
Junyan Liu
Shuai Li
Dapeng Li
28
6
0
08 Jun 2021
Linear Bandits with Limited Adaptivity and Learning Distributional
  Optimal Design
Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design
Yufei Ruan
Jiaqi Yang
Yuanshuo Zhou
OffRL
118
52
0
04 Jul 2020
Exploration with Limited Memory: Streaming Algorithms for Coin Tossing,
  Noisy Comparisons, and Multi-Armed Bandits
Exploration with Limited Memory: Streaming Algorithms for Coin Tossing, Noisy Comparisons, and Multi-Armed Bandits
Sepehr Assadi
Chen Wang
45
17
0
09 Apr 2020
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