:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Fan, Jingqi, Zhao, Canzhe, Li, Shuai, Wang, Siwei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.25824
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Heavy-tailed Linear Bandits: Adversarial Robustness, Best-of-both-worlds, and Beyond
by: Zhao, Canzhe, et al.
Published: (2025)

Learning with Limited Shared Information in Multi-agent Multi-armed Bandit
by: Shao, Junning, et al.
Published: (2025)

Pure Exploration in Asynchronous Federated Bandits
by: Wang, Zichen, et al.
Published: (2023)

Efficient and Optimal Policy Gradient Algorithm for Corrupted Multi-armed Bandits
by: Liu, Jiayuan, et al.
Published: (2025)

Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
by: Liu, Xutong, et al.
Published: (2024)

Rising Multi-Armed Bandits with Known Horizons
by: Song, Seockbean, et al.
Published: (2026)

Continuous K-Max Bandits
by: Chen, Yu, et al.
Published: (2025)

Combinatorial Rising Bandits
by: Song, Seockbean, et al.
Published: (2024)

Byzantine-Resilient Decentralized Multi-Armed Bandits
by: Zhu, Jingxuan, et al.
Published: (2023)

Offline Learning for Combinatorial Multi-armed Bandits
by: Liu, Xutong, et al.
Published: (2025)

Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience
by: Hu, Zicheng, et al.
Published: (2025)

Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
by: Xu, Mengfan, et al.
Published: (2024)

Optimal Analysis for Bandit Learning in Matching Markets with Serial Dictatorship
by: Wang, Zilong, et al.
Published: (2025)

Unlearning Offline Stochastic Multi-Armed Bandits
by: Ye, Zichun, et al.
Published: (2026)

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
by: Yang, Hantao, et al.
Published: (2024)

Competing Bandits in Decentralized Contextual Matching Markets
by: Parikh, Satush, et al.
Published: (2024)

Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates
by: Xiong, Guojun, et al.
Published: (2023)

Cascading Bandits Robust to Adversarial Corruptions
by: Xie, Jize, et al.
Published: (2025)

Decentralized Contextual Bandits with Network Adaptivity
by: Deng, Chuyun, et al.
Published: (2025)

Decentralized Upper Confidence Bound Algorithms for Homogeneous Multi-Agent Multi-Armed Bandits
by: Zhu, Jingxuan, et al.
Published: (2021)

Contextual Bandits for Unbounded Context Distributions
by: Zhao, Puning, et al.
Published: (2024)

Contextual Combinatorial Bandits with Probabilistically Triggered Arms
by: Liu, Xutong, et al.
Published: (2023)

Ravnest: Decentralized Asynchronous Training on Heterogeneous Devices
by: Menon, Anirudh Rajiv, et al.
Published: (2024)

Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach
by: Piao, Chengzhe, et al.
Published: (2024)

Adversarial Attacks on Combinatorial Multi-Armed Bandits
by: Balasubramanian, Rishab, et al.
Published: (2023)

Asynchronous Federated Learning: A Scalable Approach for Decentralized Machine Learning
by: Forootani, Ali, et al.
Published: (2024)

Near-Optimal Regret for Efficient Stochastic Combinatorial Semi-Bandits
by: Ye, Zichun, et al.
Published: (2025)

Improved Bandits in Many-to-one Matching Markets with Incentive Compatibility
by: Kong, Fang, et al.
Published: (2024)

Scale-Robust Timely Asynchronous Decentralized Learning
by: Mitra, Purbesh, et al.
Published: (2024)

Adaptive Requesting in Decentralized Edge Networks via Non-Stationary Bandits
by: Zhuang, Yi, et al.
Published: (2026)

Enhancing Scalability and Reliability in Semi-Decentralized Federated Learning With Blockchain: Trust Penalization and Asynchronous Functionality
by: Shrestha, Ajay Kumar, et al.
Published: (2023)

Adversarial Bandits with Multi-User Delayed Feedback: Theory and Application
by: Li, Yandi, et al.
Published: (2023)

On the Regularity and Fairness of Combinatorial Multi-Armed Bandit
by: Wu, Xiaoyi, et al.
Published: (2025)

Mitigating Persistent Client Dropout in Asynchronous Decentralized Federated Learning
by: Stępka, Ignacy, et al.
Published: (2025)

The Bandit Whisperer: Communication Learning for Restless Bandits
by: Zhao, Yunfan, et al.
Published: (2024)

Asynchronous Decentralized SGD under Non-Convexity: A Block-Coordinate Descent Framework
by: Zhou, Yijie, et al.
Published: (2025)

Are Stochastic Multi-objective Bandits Harder than Single-objective Bandits?
by: Guan, Changkun, et al.
Published: (2026)

Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
by: Liu, Xutong, et al.
Published: (2022)

Multi-Armed Bandits with Interference
by: Jia, Su, et al.
Published: (2024)

Adversarial Multi-dueling Bandits
by: Gajane, Pratik
Published: (2024)