Saved in:
| Main Authors: | Chen, Ziqun, Cai, Kechao, Chen, Zhuoyue, Zhang, Jinbei, Lui, John C. S. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.15439 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fair Distributed Cooperative Bandit Learning on Networks for Intelligent Internet of Things Systems (Technical Report)
by: Chen, Ziqun, et al.
Published: (2024)
by: Chen, Ziqun, et al.
Published: (2024)
Towards Noise-Resilient Quantum Multi-Armed and Stochastic Linear Bandits
by: Chen, Zhuoyue, et al.
Published: (2026)
by: Chen, Zhuoyue, et al.
Published: (2026)
Combinatorial Logistic Bandits
by: Liu, Xutong, et al.
Published: (2024)
by: Liu, Xutong, et al.
Published: (2024)
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
by: Liu, Xutong, et al.
Published: (2022)
by: Liu, Xutong, et al.
Published: (2022)
Offline Learning for Combinatorial Multi-armed Bandits
by: Liu, Xutong, et al.
Published: (2025)
by: Liu, Xutong, et al.
Published: (2025)
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
by: Liu, Xutong, et al.
Published: (2023)
by: Liu, Xutong, et al.
Published: (2023)
Multi-Play Combinatorial Semi-Bandit Problem
by: Nakamura, Shintaro, et al.
Published: (2025)
by: Nakamura, Shintaro, et al.
Published: (2025)
Note on Follow-the-Perturbed-Leader in Combinatorial Semi-Bandit Problems
by: Chen, Botao, et al.
Published: (2025)
by: Chen, Botao, et al.
Published: (2025)
Oracle-Efficient Combinatorial Semi-Bandits
by: Kim, Jung-hun, et al.
Published: (2025)
by: Kim, Jung-hun, et al.
Published: (2025)
Lipschitz Bandits with Stochastic Delayed Feedback
by: Liu, Zhongxuan, et al.
Published: (2025)
by: Liu, Zhongxuan, et al.
Published: (2025)
GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigm
by: Zheng, Chunhang, et al.
Published: (2024)
by: Zheng, Chunhang, et al.
Published: (2024)
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
by: Liu, Xutong, et al.
Published: (2024)
by: Liu, Xutong, et al.
Published: (2024)
On the Regularity and Fairness of Combinatorial Multi-Armed Bandit
by: Wu, Xiaoyi, et al.
Published: (2025)
by: Wu, Xiaoyi, et al.
Published: (2025)
Fusing Reward and Dueling Feedback in Stochastic Bandits
by: Wang, Xuchuang, et al.
Published: (2025)
by: Wang, Xuchuang, et al.
Published: (2025)
Combinatorial Rising Bandits
by: Song, Seockbean, et al.
Published: (2024)
by: Song, Seockbean, et al.
Published: (2024)
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting
by: Yang, Sifan, et al.
Published: (2025)
by: Yang, Sifan, et al.
Published: (2025)
Improved Regret for Bandit Convex Optimization with Delayed Feedback
by: Wan, Yuanyu, et al.
Published: (2024)
by: Wan, Yuanyu, et al.
Published: (2024)
Biased Dueling Bandits with Stochastic Delayed Feedback
by: Yi, Bongsoo, et al.
Published: (2024)
by: Yi, Bongsoo, et al.
Published: (2024)
Bandit and Delayed Feedback in Online Structured Prediction
by: Shibukawa, Yuki, et al.
Published: (2025)
by: Shibukawa, Yuki, et al.
Published: (2025)
On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit
by: Wu, Xiaoyi, et al.
Published: (2025)
by: Wu, Xiaoyi, et al.
Published: (2025)
Linear and Neural Dueling Bandits with Delayed Feedback
by: Wang, Xiangyi, et al.
Published: (2026)
by: Wang, Xiangyi, et al.
Published: (2026)
Neural Contextual Bandits Under Delayed Feedback Constraints
by: Moghimi, Mohammadali, et al.
Published: (2025)
by: Moghimi, Mohammadali, et al.
Published: (2025)
Combinatorial Bandit Bayesian Optimization for Tensor Outputs
by: Huang, Jingru, et al.
Published: (2026)
by: Huang, Jingru, et al.
Published: (2026)
Efficient Best-of-Both-Worlds Algorithms for Contextual Combinatorial Semi-Bandits
by: Li, Mengmeng, et al.
Published: (2025)
by: Li, Mengmeng, et al.
Published: (2025)
Adversarial Combinatorial Semi-bandits with Graph Feedback
by: Wen, Yuxiao
Published: (2025)
by: Wen, Yuxiao
Published: (2025)
Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback
by: Pedramfar, Mohammad, et al.
Published: (2023)
by: Pedramfar, Mohammad, et al.
Published: (2023)
Variance-Dependent Regret Bounds for Non-stationary Linear Bandits
by: Wang, Zhiyong, et al.
Published: (2024)
by: Wang, Zhiyong, et al.
Published: (2024)
Stochastic Online Conformal Prediction with Semi-Bandit Feedback
by: Ge, Haosen, et al.
Published: (2024)
by: Ge, Haosen, et al.
Published: (2024)
Near-Optimal Regret for Efficient Stochastic Combinatorial Semi-Bandits
by: Ye, Zichun, et al.
Published: (2025)
by: Ye, Zichun, et al.
Published: (2025)
Improved Best-of-Both-Worlds Regret for Bandits with Delayed Feedback
by: Schlisselberg, Ofir, et al.
Published: (2025)
by: Schlisselberg, Ofir, et al.
Published: (2025)
Adversarial Bandits with Multi-User Delayed Feedback: Theory and Application
by: Li, Yandi, et al.
Published: (2023)
by: Li, Yandi, et al.
Published: (2023)
Worst-Case Regret Bounds for Combinatorial Thompson Sampling in Sleeping Semi-Bandits
by: Huang, Zhiming, et al.
Published: (2026)
by: Huang, Zhiming, et al.
Published: (2026)
A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays
by: Masoudian, Saeed, et al.
Published: (2023)
by: Masoudian, Saeed, et al.
Published: (2023)
Stochastic Bandits Robust to Adversarial Attacks
by: Wang, Xuchuang, et al.
Published: (2024)
by: Wang, Xuchuang, et al.
Published: (2024)
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients
by: Li, Zhuohua, et al.
Published: (2024)
by: Li, Zhuohua, et al.
Published: (2024)
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits
by: Zhou, Julien, et al.
Published: (2024)
by: Zhou, Julien, et al.
Published: (2024)
Hybrid Combinatorial Multi-armed Bandits with Probabilistically Triggered Arms
by: Zhou, Kongchang, et al.
Published: (2025)
by: Zhou, Kongchang, et al.
Published: (2025)
A Resilience Framework for Bi-Criteria Combinatorial Optimization with Bandit Feedback
by: Aggarwal, Vaneet, et al.
Published: (2025)
by: Aggarwal, Vaneet, et al.
Published: (2025)
From Contextual Combinatorial Semi-Bandits to Bandit List Classification: Improved Sample Complexity with Sparse Rewards
by: Erez, Liad, et al.
Published: (2025)
by: Erez, Liad, et al.
Published: (2025)
Combinatorial Causal Bandits without Graph Skeleton
by: Feng, Shi, et al.
Published: (2023)
by: Feng, Shi, et al.
Published: (2023)
Similar Items
-
Fair Distributed Cooperative Bandit Learning on Networks for Intelligent Internet of Things Systems (Technical Report)
by: Chen, Ziqun, et al.
Published: (2024) -
Towards Noise-Resilient Quantum Multi-Armed and Stochastic Linear Bandits
by: Chen, Zhuoyue, et al.
Published: (2026) -
Combinatorial Logistic Bandits
by: Liu, Xutong, et al.
Published: (2024) -
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
by: Liu, Xutong, et al.
Published: (2022) -
Offline Learning for Combinatorial Multi-armed Bandits
by: Liu, Xutong, et al.
Published: (2025)