Collaborative Learning in Kernel-based Bandits for Distributed Users

Collaborative Learning in Kernel-based Bandits for Distributed Users

16 July 2022

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 $\mathcal{X}$ -armed Bandit with Flexible Personalisation Ali Arabzadeh James A. Grant David S. Leslie FedML 21 0 0 11 Sep 2024
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness Nikola Pavlovic Sudeep Salgia Qing Zhao 45 1 0 20 Feb 2024
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 Ayush Rai Shaoshuai Mou 31 0 0 07 Dec 2023
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency Sudeep Salgia Sattar Vakili Qing Zhao 17 8 0 23 Oct 2023
Federated Domain Generalization: A Survey Ying Li Xingwei Wang Rongfei Zeng Praveen Kumar Donta Ilir Murturi Min Huang Schahram Dustdar OOD FedML AI4CE 42 29 0 02 Jun 2023
Near-Optimal Collaborative Learning in Bandits Clémence Réda Sattar Vakili E. Kaufmann FedML 27 21 0 31 May 2022
Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost Sanae Amani Tor Lattimore András Gyorgy Lin F. Yang FedML 36 9 0 26 May 2022
Gaussian Process Bandit Optimization with Few Batches Zihan Li Jonathan Scarlett GP 128 47 0 15 Oct 2021
Federated Multi-Armed Bandits Chengshuai Shi Cong Shen FedML 61 92 0 28 Jan 2021
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 89 109 0 20 Oct 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 212 542 0 30 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 182 326 0 19 Mar 2020