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contextual bandit

441 papers

CB

Papers

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts ICLR 2025 Differentially Private Kernelized Contextual Bandits AISTATS 2025 Distributionally Robust Multi-Agent Reinforcement Learning for Dynamic Chute Mapping ICML 2025 Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback UAI 2025 High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions ICML 2025 Improved Offline Contextual Bandits with Second-Order Bounds: Betting and Freezing COLT 2025 Learning Personalized Decision Support Policies AAAI 2025 Linear Contextual Bandits With Interference ICML 2025 Logarithmic Regret for Online KL-Regularized Reinforcement Learning ICML 2025 MixLLM: Dynamic Routing in Mixed Large Language Models NAACL 2025 Model selection for behavioral learning data and applications to contextual bandits AISTATS 2025 Neural Combinatorial Clustered Bandits for Recommendation Systems AAAI 2025 On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime ICLR 2025 PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs ICML 2025 POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition ICLR 2025 PrioriTouch: Adapting to User Contact Preferences for Whole-Arm Physical Human-Robot Interaction CoRL 2025 Second Order Bounds for Contextual Bandits with Function Approximation ICLR 2025 Towards Domain Adaptive Neural Contextual Bandits ICLR 2025 Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints ICML 2025 VITS : Variational Inference Thompson Sampling for contextual bandits ICML 2024 Adaptively Learning to Select-Rank in Online Platforms ICML 2024 ADR-X: ANN-Assisted Wireless Link Rate Adaptation for Compute-Constrained Embedded Gaming Devices NSDI 2024 Adversarial Contextual Bandits Go Kernelized ALT 2024 Auto-BPA: An Enhanced Ball-Pivoting Algorithm With Adaptive Radius Using Contextual Bandits WACV 2024 Bootstrap Your Conversions: Thompson Sampling for Partially Observable Delayed Rewards UAI 2024