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Distributed Clustering of Linear Bandits in Peer to Peer Networks

Distributed Clustering of Linear Bandits in Peer to Peer Networks

26 April 2016
N. Korda
Balazs Szorenyi
Shuai Li
    FedML
ArXivPDFHTML

Papers citing "Distributed Clustering of Linear Bandits in Peer to Peer Networks"

33 / 33 papers shown
Title
Near Optimal Best Arm Identification for Clustered Bandits
Near Optimal Best Arm Identification for Clustered Bandits
Yash
Nikhil Karamchandani
Avishek Ghosh
28
0
0
15 May 2025
Communication Bounds for the Distributed Experts Problem
Zhihao Jia
Qi Pang
Trung Tran
David Woodruff
Zhihao Zhang
Wenting Zheng
68
0
0
06 Jan 2025
Towards Domain Adaptive Neural Contextual Bandits
Towards Domain Adaptive Neural Contextual Bandits
Ziyan Wang
Hao Wang
Hao Wang
52
0
0
13 Jun 2024
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints
Jiabin Lin
Shana Moothedath
53
1
0
21 Jan 2024
Online Network Source Optimization with Graph-Kernel MAB
Online Network Source Optimization with Graph-Kernel MAB
Laura Toni
P. Frossard
34
1
0
07 Jul 2023
Cooperative Thresholded Lasso for Sparse Linear Bandit
Cooperative Thresholded Lasso for Sparse Linear Bandit
Haniyeh Barghi
Xiaotong Cheng
S. Maghsudi
39
0
0
30 May 2023
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
Ronshee Chawla
Daniel Vial
Sanjay Shakkottai
R. Srikant
35
4
0
30 May 2023
Demystifying Advertising Campaign Bid Recommendation: A Constraint
  target CPA Goal Optimization
Demystifying Advertising Campaign Bid Recommendation: A Constraint target CPA Goal Optimization
Deguang Kong
K. Shmakov
Jian Yang
26
0
0
26 Dec 2022
Decision Market Based Learning For Multi-agent Contextual Bandit
  Problems
Decision Market Based Learning For Multi-agent Contextual Bandit Problems
Wenlong Wang
T. Pfeiffer
33
1
0
01 Dec 2022
Distributed Linear Bandits under Communication Constraints
Distributed Linear Bandits under Communication Constraints
Sudeep Salgia
Qing Zhao
48
7
0
04 Nov 2022
Anonymous Bandits for Multi-User Systems
Anonymous Bandits for Multi-User Systems
Hossein Esfandiari
Vahab Mirrokni
Jon Schneider
PICV
26
0
0
21 Oct 2022
Federated Online Clustering of Bandits
Federated Online Clustering of Bandits
Xutong Liu
Haoruo Zhao
Tong Yu
Shuai Li
John C. S. Lui
FedML
41
14
0
31 Aug 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
44
6
0
16 Jul 2022
A Simple and Provably Efficient Algorithm for Asynchronous Federated
  Contextual Linear Bandits
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
Jiafan He
Tianhao Wang
Yifei Min
Quanquan Gu
FedML
45
32
0
07 Jul 2022
Private and Byzantine-Proof Cooperative Decision-Making
Private and Byzantine-Proof Cooperative Decision-Making
Abhimanyu Dubey
Alex Pentland
19
24
0
27 May 2022
Collaborative Multi-agent Stochastic Linear Bandits
Collaborative Multi-agent Stochastic Linear Bandits
Ahmadreza Moradipari
Mohammad Ghavamzadeh
M. Alizadeh
21
6
0
12 May 2022
Modeling Attrition in Recommender Systems with Departing Bandits
Modeling Attrition in Recommender Systems with Departing Bandits
Omer Ben-Porat
Lee Cohen
Liu Leqi
Zachary Chase Lipton
Yishay Mansour
21
11
0
25 Mar 2022
Communication Efficient Federated Learning for Generalized Linear
  Bandits
Communication Efficient Federated Learning for Generalized Linear Bandits
Chuanhao Li
Hongning Wang
FedML
33
13
0
02 Feb 2022
Neural Collaborative Filtering Bandits via Meta Learning
Neural Collaborative Filtering Bandits via Meta Learning
Yikun Ban
Yunzhe Qi
Tianxin Wei
Jingrui He
OffRL
39
9
0
31 Jan 2022
Optimal Regret Is Achievable with Bounded Approximate Inference Error:
  An Enhanced Bayesian Upper Confidence Bound Framework
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework
Ziyi Huang
Henry Lam
A. Meisami
Haofeng Zhang
41
4
0
31 Jan 2022
Collaborative Pure Exploration in Kernel Bandit
Collaborative Pure Exploration in Kernel Bandit
Yihan Du
Wei Chen
Yuko Kuroki
Longbo Huang
45
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
26
7
0
07 Sep 2021
Federated Bandit: A Gossiping Approach
Federated Bandit: A Gossiping Approach
Zhaowei Zhu
Jingxuan Zhu
Ji Liu
Yang Liu
FedML
152
83
0
24 Oct 2020
Differentially-Private Federated Linear Bandits
Differentially-Private Federated Linear Bandits
Abhimanyu Dubey
Alex Pentland
FedML
32
115
0
22 Oct 2020
Robust Multi-Agent Multi-Armed Bandits
Robust Multi-Agent Multi-Armed Bandits
Daniel Vial
Sanjay Shakkottai
R. Srikant
21
36
0
07 Jul 2020
Categorized Bandits
Categorized Bandits
Matthieu Jedor
Jonathan Louëdec
Vianney Perchet
25
11
0
04 May 2020
Optimal Exploitation of Clustering and History Information in
  Multi-Armed Bandit
Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit
Djallel Bouneffouf
Srinivasan Parthasarathy
Horst Samulowitz
Martin Wistuba
24
29
0
31 May 2019
Improved Algorithm on Online Clustering of Bandits
Improved Algorithm on Online Clustering of Bandits
Shuai Li
Wei Chen
Shuai Li
K. Leung
19
68
0
25 Feb 2019
Simple Regret Minimization for Contextual Bandits
Simple Regret Minimization for Contextual Bandits
A. Deshmukh
Srinagesh Sharma
J. Cutler
M. Moldwin
Clayton Scott
20
24
0
17 Oct 2018
Horde of Bandits using Gaussian Markov Random Fields
Horde of Bandits using Gaussian Markov Random Fields
Sharan Vaswani
Mark Schmidt
L. Lakshmanan
26
14
0
07 Mar 2017
On Context-Dependent Clustering of Bandits
On Context-Dependent Clustering of Bandits
Claudio Gentile
Shuai Li
Purushottam Kar
Alexandros Karatzoglou
Evans Etrue
Giovanni Zappella
15
138
0
06 Aug 2016
Multi-fidelity Gaussian Process Bandit Optimisation
Multi-fidelity Gaussian Process Bandit Optimisation
Kirthevasan Kandasamy
Gautam Dasarathy
Junier B. Oliva
J. Schneider
Barnabás Póczós
16
76
0
20 Mar 2016
Context-Aware Bandits
Shuai Li
Purushottam Kar
41
13
0
12 Oct 2015
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