Cover Image

Bi-Level Contextual Bandits for Individualized Resource Allocation under Delayed Feedback

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Almasi, Mohammadsina, Anahideh, Hadis
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Agent LLMs for Adaptive Acquisition in Bayesian Optimization
by: Carbonati, Andrea, et al.
Published: (2026)

Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability
by: Nezami, Nazanin, et al.
Published: (2024)

Linear and Neural Dueling Bandits with Delayed Feedback
by: Wang, Xiangyi, et al.
Published: (2026)

Stochastic Submodular Bandits with Delayed Composite Anonymous Bandit Feedback
by: Pedramfar, Mohammad, et al.
Published: (2023)

Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles
by: Kim, Jung-hun, et al.
Published: (2017)

Tree Ensembles for Contextual Bandits
by: Nilsson, Hannes, et al.
Published: (2024)

Causal Contextual Bandits with Adaptive Context
by: Madhavan, Rahul, et al.
Published: (2024)

Diffusion Models Meet Contextual Bandits
by: Aouali, Imad
Published: (2024)

Learning When to Trust in Contextual Bandits
by: Ghasemi, Majid, et al.
Published: (2026)

The Sample Complexity of Multiclass and Sparse Contextual Bandits
by: Erez, Liad, et al.
Published: (2026)

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

A Contextual Combinatorial Bandit Approach to Negotiation
by: Li, Yexin, et al.
Published: (2024)

Federated Linear Contextual Bandits with Heterogeneous Clients
by: Blaser, Ethan, et al.
Published: (2024)

Conservative Contextual Bandits: Beyond Linear Representations
by: Deb, Rohan, et al.
Published: (2024)

Linear Contextual Bandits with Hybrid Payoff: Revisited
by: Das, Nirjhar, et al.
Published: (2024)

Resolving Predictive Multiplicity for the Rashomon Set
by: Haghighat, Parian, et al.
Published: (2026)

Variance-Dependent Regret Lower Bounds for Contextual Bandits
by: He, Jiafan, et al.
Published: (2025)

Leveraging Offline Data in Linear Latent Contextual Bandits
by: Kausik, Chinmaya, et al.
Published: (2024)

Second Order Bounds for Contextual Bandits with Function Approximation
by: Pacchiano, Aldo
Published: (2024)

Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards
by: Lu, Xiaodong, et al.
Published: (2026)

TypeBandit: Type-Level Context Allocation and Reweighting for Effective Attribute Completion in Heterogeneous Graph Neural Networks
by: Wang, Ta-Yang, et al.
Published: (2026)

Impatient Bandits: Optimizing for the Long-Term Without Delay
by: Zhang, Kelly W., et al.
Published: (2025)

Fusing Reward and Dueling Feedback in Stochastic Bandits
by: Wang, Xuchuang, 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)

Provable Anytime Ensemble Sampling Algorithms in Nonlinear Contextual Bandits
by: Sun, Jiazheng, et al.
Published: (2025)

COBRA: Contextual Bandit Algorithm for Ensuring Truthful Strategic Agents
by: Verma, Arun, et al.
Published: (2025)

Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits
by: Shimizu, Tatsuhiro, et al.
Published: (2024)

Calibration-Gated LLM Pseudo-Observations for Online Contextual Bandits
by: Pershin, Maksim, et al.
Published: (2026)

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

DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation
by: Zhang, Jason Shuo, et al.
Published: (2024)

Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback
by: Xiong, Guojun, et al.
Published: (2024)

Neural Dueling Bandits: Preference-Based Optimization with Human Feedback
by: Verma, Arun, et al.
Published: (2024)

Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits
by: Liu, Maoli, et al.
Published: (2025)

Adaptive Action Duration with Contextual Bandits for Deep Reinforcement Learning in Dynamic Environments
by: Verma, Abhishek, et al.
Published: (2025)

Bandits with Single-Peaked Preferences and Limited Resources
by: Ben-Porat, Omer, et al.
Published: (2025)

A Resilience Framework for Bi-Criteria Combinatorial Optimization with Bandit Feedback
by: Aggarwal, Vaneet, et al.
Published: (2025)

Contextual Budget Bandit for Food Rescue Volunteer Engagement
by: Tang, Ariana, et al.
Published: (2025)

Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications
by: Xu, Luyue, et al.
Published: (2024)

Optimizing Warfarin Dosing Using Contextual Bandit: An Offline Policy Learning and Evaluation Method
by: Huang, Yong, et al.
Published: (2024)

Neural Contextual Bandits Under Delayed Feedback Constraints
by: Moghimi, Mohammadali, et al.
Published: (2025)