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Collaborative Learning in Kernel-based Bandits for Distributed Users

Collaborative Learning in Kernel-based Bandits for Distributed Users

16 July 2022
Sudeep Salgia
Sattar Vakili
Qing Zhao
    FedML
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Papers citing "Collaborative Learning in Kernel-based Bandits for Distributed Users"

13 / 13 papers shown
Title
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
16
0
0
11 Sep 2024
Order-Optimal Regret in Distributed Kernel Bandits using Uniform
  Sampling with Shared Randomness
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness
Nikola Pavlovic
Sudeep Salgia
Qing Zhao
35
1
0
20 Feb 2024
Optimal Regret Bounds for Collaborative Learning in Bandits
Optimal Regret Bounds for Collaborative Learning in Bandits
Amitis Shidani
Sattar Vakili
11
0
0
15 Dec 2023
Distributed Optimization via Kernelized Multi-armed Bandits
Distributed Optimization via Kernelized Multi-armed Bandits
Ayush Rai
Shaoshuai Mou
18
0
0
07 Dec 2023
Random Exploration in Bayesian Optimization: Order-Optimal Regret and
  Computational Efficiency
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency
Sudeep Salgia
Sattar Vakili
Qing Zhao
12
8
0
23 Oct 2023
Federated Domain Generalization: A Survey
Federated Domain Generalization: A Survey
Ying Li
Xingwei Wang
Rongfei Zeng
Praveen Kumar Donta
Ilir Murturi
Min Huang
Schahram Dustdar
OOD
FedML
AI4CE
27
29
0
02 Jun 2023
Near-Optimal Collaborative Learning in Bandits
Near-Optimal Collaborative Learning in Bandits
Clémence Réda
Sattar Vakili
E. Kaufmann
FedML
17
20
0
31 May 2022
Distributed Contextual Linear Bandits with Minimax Optimal Communication
  Cost
Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost
Sanae Amani
Tor Lattimore
András Gyorgy
Lin F. Yang
FedML
28
9
0
26 May 2022
Gaussian Process Bandit Optimization with Few Batches
Gaussian Process Bandit Optimization with Few Batches
Zihan Li
Jonathan Scarlett
GP
123
47
0
15 Oct 2021
Federated Multi-Armed Bandits
Federated Multi-Armed Bandits
Chengshuai Shi
Cong Shen
FedML
47
91
0
28 Jan 2021
Federated Bayesian Optimization via Thompson Sampling
Federated Bayesian Optimization via Thompson Sampling
Zhongxiang Dai
K. H. Low
Patrick Jaillet
FedML
79
109
0
20 Oct 2020
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
183
535
0
30 Mar 2020
Survey of Personalization Techniques for Federated Learning
Survey of Personalization Techniques for Federated Learning
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
FedML
168
323
0
19 Mar 2020
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