:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Qi, Han, Guo, Fei, Zhu, Li, Zhang, Qiaosheng
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2501.14314
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Graph Feedback Bandits with Similar Arms
by: Qi, Han, et al.
Published: (2024)

Sample-Efficient Reinforcement Learning from Human Feedback via Information-Directed Sampling
by: Qi, Han, et al.
Published: (2025)

Efficient Contextual Bandits with Uninformed Feedback Graphs
by: Zhang, Mengxiao, et al.
Published: (2024)

Gated Graph Attention Networks with Learnable Temperature
by: Ma, Zhongtian, et al.
Published: (2026)

Misclassification Rate and Privacy-Utility Trade-offs in Graph Convolutional Networks via Subsampling Stability
by: Zhang, Yexin, et al.
Published: (2026)

Hybrid Combinatorial Multi-armed Bandits with Probabilistically Triggered Arms
by: Zhou, Kongchang, et al.
Published: (2025)

Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models
by: Ma, Zhongtian, et al.
Published: (2024)

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

Identifying All ε-Best Arms in (Misspecified) Linear Bandits
by: Li, Zhekai, et al.
Published: (2025)

Blessings of Multiple Good Arms in Multi-Objective Linear Bandits
by: Ann, Heesang, 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)

Graph2Region: Efficient Graph Similarity Learning with Structure and Scale Restoration
by: Liu, Zhouyang, et al.
Published: (2025)

The Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms
by: Bayati, Mohsen, et al.
Published: (2020)

On-line Learning in Tree MDPs by Treating Policies as Bandit Arms
by: Shah, Anvay, et al.
Published: (2026)

Bandit and Delayed Feedback in Online Structured Prediction
by: Shibukawa, Yuki, et al.
Published: (2025)

Stochastic Graph Bandit Learning with Side-Observations
by: Gong, Xueping, et al.
Published: (2023)

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms
by: Everett, Derek, et al.
Published: (2025)

Meet Me at the Arm: The Cooperative Multi-Armed Bandits Problem with Shareable Arms
by: Hu, Xinyi, et al.
Published: (2025)

Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms
by: Bayati, Mohsen, et al.
Published: (2022)

Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition
by: Li, Long-Fei, et al.
Published: (2024)

A Fast Convergence Theory for Offline Decision Making
by: Mao, Chenjie, et al.
Published: (2024)

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

SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity Learning
by: Wang, Wenjun, et al.
Published: (2024)

Graph Learning Is Suboptimal in Causal Bandits
by: Shahverdikondori, Mohammad, et al.
Published: (2025)

SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding
by: Zhu, Yuchang, et al.
Published: (2025)

Similarity-based Neighbor Selection for Graph LLMs
by: Li, Rui, et al.
Published: (2024)

Neural Network Graph Similarity Computation Based on Graph Fusion
by: Chang, Zenghui, et al.
Published: (2025)

Similarity-Navigated Conformal Prediction for Graph Neural Networks
by: Song, Jianqing, et al.
Published: (2024)

Towards Robust Graph Structural Learning Beyond Homophily via Preserving Neighbor Similarity
by: Zhu, Yulin, et al.
Published: (2024)

Molecular Graph Representation Learning via Structural Similarity Information
by: Yao, Chengyu, et al.
Published: (2024)

Graph Negative Feedback Bias Correction Framework for Adaptive Heterophily Modeling
by: Lv, Jiaqi, et al.
Published: (2026)

Nearest Neighbour with Bandit Feedback
by: Pasteris, Stephen, et al.
Published: (2023)

Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis
by: Paschalidis, Phevos, et al.
Published: (2024)

Multi-model Online Conformal Prediction with Graph-Structured Feedback
by: Hajihashemi, Erfan, et al.
Published: (2025)

Biased Dueling Bandits with Stochastic Delayed Feedback
by: Yi, Bongsoo, et al.
Published: (2024)

Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms
by: Jin, Dian, et al.
Published: (2025)

Generalized Low-Rank Matrix Contextual Bandits with Graph Information
by: Wang, Yao, et al.
Published: (2025)

Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback
by: Goyal, Tanmay, et al.
Published: (2025)

Explaining Graph Neural Networks for Node Similarity on Graphs
by: Daza, Daniel, et al.
Published: (2024)

Feedback Control for Multi-Objective Graph Self-Supervision
by: Grover, Karish, et al.
Published: (2026)