linear contextual bandit

Robust and Computationally Efficient Linear Contextual Bandits under Adversarial Corruption and Heavy-Tailed Noise UAI 2026 Weighted Sequential Bayesian Inference for Non-Stationary Linear Contextual Bandits UAI 2026 Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis UAI 2025 LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits AISTATS 2025 On Preference-based Stochastic Linear Contextual Bandits with Knapsacks AISTATS 2025 Best-of-Both-Worlds Algorithms for Linear Contextual Bandits AISTATS 2024 Federated Linear Contextual Bandits with Heterogeneous Clients AISTATS 2024 Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit NeurIPS 2024 On Differentially Private Federated Linear Contextual Bandits ICLR 2024 Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits? COLT 2024 Strategic Linear Contextual Bandits NeurIPS 2024 Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023 Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback ICML 2023 Multi-task Representation Learning with Stochastic Linear Bandits AISTATS 2023 On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits ICML 2023 Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits AISTATS 2023 Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency COLT 2023 A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds ICML 2022 Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022 Encrypted Linear Contextual Bandit AISTATS 2022 Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions NeurIPS 2022 Pessimism for Offline Linear Contextual Bandits using ℓ_p Confidence Sets NeurIPS 2022 Shuffle Private Linear Contextual Bandits ICML 2022 Smoothed Adversarial Linear Contextual Bandits with Knapsacks ICML 2022 Confidence-Budget Matching for Sequential Budgeted Learning ICML 2021