contextual bandit

Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood JMLR 2026 Bi-Level Contextual Bandits for Individualized Resource Allocation Under Delayed Feedback AAAI 2026 Efficient Contextual Bandit Learning via Reward-Space Sampling and Online Optimization (Student Abstract) AAAI 2026 Exploiting Concavity Information in Contextual Bandit Optimization UAI 2026 Fast Best-in-Class Regret for Contextual Bandits UAI 2026 Federated Linear Dueling Bandits AAAI 2026 Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation AAAI 2026 Multi-Armed Bandits Meet Large Language Models AAAI 2026 Neural Exploitation and Exploration of Contextual Bandits JMLR 2026 Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution AAAI 2026 Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization ACL 2026 Should You Use Your Large Language Model to Explore or Exploit? UAI 2026 Sparse Nonparametric Contextual Bandits ALT 2026 Taming the Monster Every Context: Complexity Measure and Unified Framework for Offline-Oracle Efficient Contextual Bandits COLT 2026 The Role of Contextual Information in Best Arm Identification JMLR 2026 The Sample Complexity of Multiclass and Sparse Contextual Bandits COLT 2026 AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025 Adaptive LLM Routing under Budget Constraints EMNLP 2025 Algorithmic Recourse for Long-Term Improvement ICML 2025 A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage AISTATS 2025 BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale AAAI 2025 Contextual Bandits for Unbounded Context Distributions ICML 2025 Contextual Bandits with Stage-wise Constraints JMLR 2025 Cost-Aware Near-Optimal Policy Learning AAAI 2025 Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits ICLR 2025