Image de couverture de livre

Federated $\mathcal{X}$-armed Bandit with Flexible Personalisation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Arabzadeh, Ali, Grant, James A., Leslie, David S.
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Deceptive Exploration in Multi-armed Bandits
par: Vurankaya, I. Arda, et autres
Publié: (2025)

Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification
par: Grant, James A., et autres
Publié: (2021)

Multi-armed Bandits with Missing Outcome
par: Mahrooghi, Ilia, et autres
Publié: (2024)

DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation
par: Zhang, Jason Shuo, et autres
Publié: (2024)

Replicability is Asymptotically Free in Multi-armed Bandits
par: Komiyama, Junpei, et autres
Publié: (2024)

Maximal Objectives in the Multi-armed Bandit with Applications
par: Ozbay, Eren, et autres
Publié: (2020)

Offline Learning for Combinatorial Multi-armed Bandits
par: Liu, Xutong, et autres
Publié: (2025)

Causally Abstracted Multi-armed Bandits
par: Zennaro, Fabio Massimo, et autres
Publié: (2024)

Fairness of Exposure in Online Restless Multi-armed Bandits
par: Sood, Archit, et autres
Publié: (2024)

Transfer Learning for Contextual Multi-armed Bandits
par: Cai, Changxiao, et autres
Publié: (2022)

Locally Private Nonparametric Contextual Multi-armed Bandits
par: Ma, Yuheng, et autres
Publié: (2025)

Transfer in Sequential Multi-armed Bandits via Reward Samples
par: R, Rahul N, et autres
Publié: (2024)

Falcon: Fair Active Learning using Multi-armed Bandits
par: Tae, Ki Hyun, et autres
Publié: (2024)

Continuum-armed Bandit Optimization with Batch Pairwise Comparison Oracles
par: Chang, Xiangyu, et autres
Publié: (2025)

Hybrid Combinatorial Multi-armed Bandits with Probabilistically Triggered Arms
par: Zhou, Kongchang, et autres
Publié: (2025)

Combinatorial Multi-armed Bandits: Arm Selection via Group Testing
par: Mukherjee, Arpan, et autres
Publié: (2024)

Design Experiments to Compare Multi-armed Bandit Algorithms
par: Meng, Huiling, et autres
Publié: (2026)

A Two-armed Bandit Framework for A/B Testing
par: Wang, Jinjuan, et autres
Publié: (2025)

Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards
par: Qin, Hao, et autres
Publié: (2023)

Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
par: Shao, Junning, et autres
Publié: (2025)

Multi-agent Multi-armed Bandit with Fully Heavy-tailed Dynamics
par: Wang, Xingyu, et autres
Publié: (2025)

Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models
par: Xu, Mengfan, et autres
Publié: (2025)

Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits
par: Liu, Jiayuan, et autres
Publié: (2025)

Robust Federated Personalised Mean Estimation for the Gaussian Mixture Model
par: Managoli, Malhar A., et autres
Publié: (2025)

FedMAP: Personalised Federated Learning for Real Large-Scale Healthcare Systems
par: Zhang, Fan, et autres
Publié: (2024)

Adaptive Endpointing with Deep Contextual Multi-armed Bandits
par: Min, Do June, et autres
Publié: (2023)

Extended UCB Policies for Multi-armed Bandit Problems
par: Liu, Keqin, et autres
Publié: (2011)

An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints
par: Kim, Jung-hun, et autres
Publié: (2024)

Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience
par: Hu, Zicheng, et autres
Publié: (2025)

Generalising Battery Control in Net-Zero Buildings via Personalised Federated RL
par: Avila, Nicolas M Cuadrado, et autres
Publié: (2024)

GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits
par: Chen, Gongpu, et autres
Publié: (2024)

A Tight Lower Bound for Non-stochastic Multi-armed Bandits with Expert Advice
par: Chase, Zachary, et autres
Publié: (2025)

A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity
par: Xiong, Zhihan, et autres
Publié: (2023)

Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach
par: Bertsimas, Dimitris, et autres
Publié: (2025)

Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
par: Xu, Mengfan, et autres
Publié: (2024)

Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness
par: Manupriya, Piyushi, et autres
Publié: (2025)

Federated Linear Dueling Bandits
par: Huang, Xuhan, et autres
Publié: (2025)

Meta-Learning Multi-armed Bandits for Beam Tracking in 5G and 6G Networks
par: Mattick, Alexander, et autres
Publié: (2025)

Strategic A/B testing via Maximum Probability-driven Two-armed Bandit
par: Zhang, Yu, et autres
Publié: (2025)

Improving Thompson Sampling via Information Relaxation for Budgeted Multi-armed Bandits
par: Jeong, Woojin, et autres
Publié: (2024)