Laplacian Kernelized Bandit
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Shuang, Amini, Arash A. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Graph Neural Thompson Sampling
by: Wu, Shuang, et al.
Published: (2024)
by: Wu, Shuang, et al.
Published: (2024)
Simple GNNs with Low Rank Non-parametric Aggregators
by: Vinas, Luciano, et al.
Published: (2023)
by: Vinas, Luciano, et al.
Published: (2023)
Sharp Bounds for Poly-GNNs and the Effect of Graph Noise
by: Vinas, Luciano, et al.
Published: (2024)
by: Vinas, Luciano, et al.
Published: (2024)
Nonparametric Kernel Clustering with Bandit Feedback
by: Thuot, Victor, et al.
Published: (2026)
by: Thuot, Victor, et al.
Published: (2026)
Consequences of Kernel Regularity for Bandit Optimization
by: Lee, Madison, et al.
Published: (2025)
by: Lee, Madison, et al.
Published: (2025)
Differentially Private Kernelized Contextual Bandits
by: Pavlovic, Nikola, et al.
Published: (2025)
by: Pavlovic, Nikola, et al.
Published: (2025)
Nearly-Optimal Algorithm for Adversarial Kernelized Bandits
by: Iwazaki, Shogo
Published: (2026)
by: Iwazaki, Shogo
Published: (2026)
Near-Optimal Regret in Adversarial Kernel Bandits
by: Zhang, Yu-Jie, et al.
Published: (2026)
by: Zhang, Yu-Jie, et al.
Published: (2026)
Batched Kernelized Bandits: Refinements and Extensions
by: Ma, Chenkai, et al.
Published: (2026)
by: Ma, Chenkai, et al.
Published: (2026)
Distributed Learning of Generalized Linear Causal Networks
by: Ye, Qiaoling, et al.
Published: (2022)
by: Ye, Qiaoling, et al.
Published: (2022)
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
by: Iwazaki, Shogo, et al.
Published: (2024)
by: Iwazaki, Shogo, et al.
Published: (2024)
Sharper Guarantees for Misspecified Kernelized Bandit Optimization
by: Maran, Davide, et al.
Published: (2026)
by: Maran, Davide, et al.
Published: (2026)
Lower Bounds for Time-Varying Kernelized Bandits
by: Cai, Xu, et al.
Published: (2024)
by: Cai, Xu, et al.
Published: (2024)
Learning general conditional independence structures via the neighbourhood lattice
by: Amini, Arash A., et al.
Published: (2022)
by: Amini, Arash A., et al.
Published: (2022)
KernelBand: Steering LLM-based Kernel Optimization via Hardware-Aware Multi-Armed Bandits
by: Ran, Dezhi, et al.
Published: (2025)
by: Ran, Dezhi, et al.
Published: (2025)
Regret Bounds for Noise-Free Cascaded Kernelized Bandits
by: Li, Zihan, et al.
Published: (2022)
by: Li, Zihan, et al.
Published: (2022)
Online Learning of Whittle Indices for Restless Bandits with Non-Stationary Transition Kernels
by: Shisher, Md Kamran Chowdhury, et al.
Published: (2025)
by: Shisher, Md Kamran Chowdhury, et al.
Published: (2025)
Open Problem: Tight Bounds for Kernelized Multi-Armed Bandits with Bernoulli Rewards
by: Mussi, Marco, et al.
Published: (2024)
by: Mussi, Marco, et al.
Published: (2024)
Task-Driven Kernel Flows: Label Rank Compression and Laplacian Spectral Filtering
by: Li, Hongxi, et al.
Published: (2026)
by: Li, Hongxi, et al.
Published: (2026)
Differential Privacy in Kernelized Contextual Bandits via Random Projections
by: Pavlovic, Nikola, et al.
Published: (2025)
by: Pavlovic, Nikola, et al.
Published: (2025)
Tighter Regret Lower Bound for Gaussian Process Bandits with Squared Exponential Kernel in Hypersphere
by: Iwazaki, Shogo
Published: (2026)
by: Iwazaki, Shogo
Published: (2026)
Learning-Based User Association for MmWave Vehicular Networks With Kernelized Contextual Bandits
by: He, Xiaoyang, et al.
Published: (2025)
by: He, Xiaoyang, et al.
Published: (2025)
Nested stochastic block model for simultaneously clustering networks and nodes
by: Josephs, Nathaniel, et al.
Published: (2023)
by: Josephs, Nathaniel, et al.
Published: (2023)
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework
by: Afzali, Amirabbas, et al.
Published: (2024)
by: Afzali, Amirabbas, et al.
Published: (2024)
Generalized Kernelized Bandits: A Novel Self-Normalized Bernstein-Like Dimension-Free Inequality and Regret Bounds
by: Metelli, Alberto Maria, et al.
Published: (2025)
by: Metelli, Alberto Maria, et al.
Published: (2025)
Beam-aware Kernelized Contextual Bandits for User Association and Beamforming in mmWave Vehicular Networks
by: He, Xiaoyang, et al.
Published: (2026)
by: He, Xiaoyang, et al.
Published: (2026)
On the Regularity and Fairness of Combinatorial Multi-Armed Bandit
by: Wu, Xiaoyi, et al.
Published: (2025)
by: Wu, Xiaoyi, et al.
Published: (2025)
Network two-sample test for block models
by: Nguen, Chung Kyong, et al.
Published: (2024)
by: Nguen, Chung Kyong, et al.
Published: (2024)
PAC Off-Policy Prediction of Contextual Bandits
by: Wan, Yilong, et al.
Published: (2025)
by: Wan, Yilong, et al.
Published: (2025)
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness
by: Pavlovic, Nikola, et al.
Published: (2024)
by: Pavlovic, Nikola, et al.
Published: (2024)
Autoregressive Bandits
by: Bacchiocchi, Francesco, et al.
Published: (2022)
by: Bacchiocchi, Francesco, et al.
Published: (2022)
Blocking Bandits
by: Basu, Soumya, et al.
Published: (2019)
by: Basu, Soumya, et al.
Published: (2019)
Pessimistic Risk-Aware Policy Learning in Contextual Bandits
by: Wan, Yilong, et al.
Published: (2026)
by: Wan, Yilong, et al.
Published: (2026)
Kernel $ε$-Greedy for Multi-Armed Bandits with Covariates
by: Arya, Sakshi, et al.
Published: (2023)
by: Arya, Sakshi, et al.
Published: (2023)
Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback
by: Goyal, Tanmay, et al.
Published: (2025)
by: Goyal, Tanmay, et al.
Published: (2025)
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit
by: Cao, Junyu, et al.
Published: (2024)
by: Cao, Junyu, et al.
Published: (2024)
Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits
by: Huang, Ziyi, et al.
Published: (2024)
by: Huang, Ziyi, et al.
Published: (2024)
BanditQ: Fair Bandits with Guaranteed Rewards
by: Sinha, Abhishek
Published: (2023)
by: Sinha, Abhishek
Published: (2023)
Depth-induced NTK: Bridging Over-parameterized Neural Networks and Deep Neural Kernels
by: Tian, Yong-Ming, et al.
Published: (2025)
by: Tian, Yong-Ming, et al.
Published: (2025)
Adversarial Bandit over Bandits: Hierarchical Bandits for Online Configuration Management
by: Avin, Chen, et al.
Published: (2025)
by: Avin, Chen, et al.
Published: (2025)
Similar Items
-
Graph Neural Thompson Sampling
by: Wu, Shuang, et al.
Published: (2024) -
Simple GNNs with Low Rank Non-parametric Aggregators
by: Vinas, Luciano, et al.
Published: (2023) -
Sharp Bounds for Poly-GNNs and the Effect of Graph Noise
by: Vinas, Luciano, et al.
Published: (2024) -
Nonparametric Kernel Clustering with Bandit Feedback
by: Thuot, Victor, et al.
Published: (2026) -
Consequences of Kernel Regularity for Bandit Optimization
by: Lee, Madison, et al.
Published: (2025)