conftrace_

contextual bandit

381 papers

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Also known as

CB

Co-occurring keywords

regret bound (1926) online learning (1777) multi-armed bandit (1098) thompson sampling (237) upper confidence bound (197) online algorithm (445) off-policy evaluation (144) linear bandit (124) reinforcement learning (4352) recommendation system (294)

Papers

Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization ACL 2026
Multi-Armed Bandits Meet Large Language Models AAAI 2026
Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution AAAI 2026
Efficient Contextual Bandit Learning via Reward-Space Sampling and Online Optimization (Student Abstract) AAAI 2026
Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation AAAI 2026
Sparse Nonparametric Contextual Bandits ALT 2026
Federated Linear Dueling Bandits AAAI 2026
Bi-Level Contextual Bandits for Individualized Resource Allocation Under Delayed Feedback AAAI 2026
Cost-Aware Near-Optimal Policy Learning AAAI 2025
BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale AAAI 2025
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025
Neural Combinatorial Clustered Bandits for Recommendation Systems AAAI 2025
MixLLM: Dynamic Routing in Mixed Large Language Models NAACL 2025
Adaptive LLM Routing under Budget Constraints EMNLP 2025
Contextual Bandits with Stage-wise Constraints JMLR 2025
Learning Personalized Decision Support Policies AAAI 2025
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NIPS 2024
Contextual Pandora’s Box AAAI 2024
Stochastic contextual bandits with graph feedback: from independence number to MAS number NIPS 2024
Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression JMLR 2024
Contextual Multinomial Logit Bandits with General Value Functions NIPS 2024
New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem AAAI 2024
On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice NIPS 2024
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective AISTATS 2024
Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits AISTATS 2024