Saved in:
| Main Authors: | Huang, Jingru, Xu, Haijie, Guo, Jie, Jiang, Manrui, Zhang, Chen |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.00640 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Function-on-Function Bayesian Optimization
by: Huang, Jingru, et al.
Published: (2025)
by: Huang, Jingru, et al.
Published: (2025)
DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
by: Jiang, Manrui, et al.
Published: (2026)
by: Jiang, Manrui, et al.
Published: (2026)
Bayesian Analysis of Combinatorial Gaussian Process Bandits
by: Sandberg, Jack, et al.
Published: (2023)
by: Sandberg, Jack, et al.
Published: (2023)
Combinatorial Rising Bandits
by: Song, Seockbean, et al.
Published: (2024)
by: Song, Seockbean, et al.
Published: (2024)
Design of Experiment for Discovering Directed Mixed Graph
by: Xu, Haijie, et al.
Published: (2025)
by: Xu, Haijie, et al.
Published: (2025)
Functional-Edged Network Modeling
by: Xu, Haijie, et al.
Published: (2024)
by: Xu, Haijie, et al.
Published: (2024)
Quickest Causal Change Point Detection by Adaptive Intervention
by: Xu, Haijie, et al.
Published: (2025)
by: Xu, Haijie, et al.
Published: (2025)
Combinatorial Logistic Bandits
by: Liu, Xutong, et al.
Published: (2024)
by: Liu, Xutong, 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)
Multi-Play Combinatorial Semi-Bandit Problem
by: Nakamura, Shintaro, et al.
Published: (2025)
by: Nakamura, Shintaro, et al.
Published: (2025)
Multi-Task Combinatorial Bandits for Budget Allocation
by: Ge, Lin, et al.
Published: (2024)
by: Ge, Lin, 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)
Offline Learning for Combinatorial Multi-armed Bandits
by: Liu, Xutong, et al.
Published: (2025)
by: Liu, Xutong, et al.
Published: (2025)
Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial Bandits
by: Gangopadhyay, Briti, et al.
Published: (2025)
by: Gangopadhyay, Briti, et al.
Published: (2025)
Merit-based Fair Combinatorial Semi-Bandit with Unrestricted Feedback Delays
by: Chen, Ziqun, et al.
Published: (2024)
by: Chen, Ziqun, et al.
Published: (2024)
Adversarial Combinatorial Bandits with Switching Costs
by: Dong, Yanyan, et al.
Published: (2024)
by: Dong, Yanyan, et al.
Published: (2024)
Oracle-Efficient Combinatorial Semi-Bandits
by: Kim, Jung-hun, et al.
Published: (2025)
by: Kim, Jung-hun, et al.
Published: (2025)
Combinatorial Causal Bandits without Graph Skeleton
by: Feng, Shi, et al.
Published: (2023)
by: Feng, Shi, et al.
Published: (2023)
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)
Empirical Bayesian Multi-Bandit Learning
by: Jiang, Xia, et al.
Published: (2025)
by: Jiang, Xia, 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)
Stochastic Low-rank Tensor Bandits for Multi-dimensional Online Decision Making
by: Zhou, Jie, et al.
Published: (2020)
by: Zhou, Jie, et al.
Published: (2020)
Combinatorial Allocation Bandits with Nonlinear Arm Utility
by: Shibukawa, Yuki, et al.
Published: (2026)
by: Shibukawa, Yuki, et al.
Published: (2026)
Efficient Swap Regret Minimization in Combinatorial Bandits
by: Kontogiannis, Andreas, et al.
Published: (2026)
by: Kontogiannis, Andreas, 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)
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs
by: Chen, Qiyuan, et al.
Published: (2024)
by: Chen, Qiyuan, et al.
Published: (2024)
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)
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox
by: Zhang, Raymond, et al.
Published: (2024)
by: Zhang, Raymond, et al.
Published: (2024)
Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region
by: Xu, Haijie, et al.
Published: (2024)
by: Xu, Haijie, et al.
Published: (2024)
A Contextual Combinatorial Bandit Approach to Negotiation
by: Li, Yexin, et al.
Published: (2024)
by: Li, Yexin, et al.
Published: (2024)
Neural Combinatorial Clustered Bandits for Recommendation Systems
by: Atalar, Baran, et al.
Published: (2024)
by: Atalar, Baran, et al.
Published: (2024)
Optimal Arm Elimination Algorithms for Combinatorial Bandits
by: Wen, Yuxiao, et al.
Published: (2025)
by: Wen, Yuxiao, et al.
Published: (2025)
Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization
by: Doumont, Colin, et al.
Published: (2025)
by: Doumont, Colin, et al.
Published: (2025)
Tensor State Space-based Dynamic Multilayer Network Modeling
by: Lan, Tian, et al.
Published: (2025)
by: Lan, Tian, et al.
Published: (2025)
Adversarial Attacks on Combinatorial Multi-Armed Bandits
by: Balasubramanian, Rishab, et al.
Published: (2023)
by: Balasubramanian, Rishab, et al.
Published: (2023)
GraphThought: Graph Combinatorial Optimization with Thought Generation
by: Huang, Zixiao, et al.
Published: (2025)
by: Huang, Zixiao, 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)
Challenger-Based Combinatorial Bandits for Subcarrier Selection in OFDM Systems
by: Amiri, Mohsen, et al.
Published: (2025)
by: Amiri, Mohsen, et al.
Published: (2025)
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)
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
by: Papenmeier, Leonard, et al.
Published: (2023)
by: Papenmeier, Leonard, et al.
Published: (2023)
Similar Items
-
Function-on-Function Bayesian Optimization
by: Huang, Jingru, et al.
Published: (2025) -
DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes
by: Jiang, Manrui, et al.
Published: (2026) -
Bayesian Analysis of Combinatorial Gaussian Process Bandits
by: Sandberg, Jack, et al.
Published: (2023) -
Combinatorial Rising Bandits
by: Song, Seockbean, et al.
Published: (2024) -
Design of Experiment for Discovering Directed Mixed Graph
by: Xu, Haijie, et al.
Published: (2025)