contextual bandit

More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning ICML 2024 Nearly Minimax Optimal Regret for Multinomial Logistic Bandit NeurIPS 2024 New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem AAAI 2024 Off-policy estimation with adaptively collected data: the power of online learning NeurIPS 2024 Online learning in bandits with predicted context AISTATS 2024 Online Learning in Contextual Second-Price Pay-Per-Click Auctions AISTATS 2024 Online Posterior Sampling with a Diffusion Prior NeurIPS 2024 On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice NeurIPS 2024 Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits? COLT 2024 Optimistic Information Directed Sampling COLT 2024 Oracle-Efficient Hybrid Online Learning with Unknown Distribution COLT 2024 Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits AISTATS 2024 PageRank Bandits for Link Prediction NeurIPS 2024 Privacy Preserving Adaptive Experiment Design ICML 2024 Prospective Side Information for Latent MDPs ICML 2024 Risk-Aware Continuous Control with Neural Contextual Bandits AAAI 2024 Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024 Robust Neural Contextual Bandit against Adversarial Corruptions NeurIPS 2024 RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions NeurIPS 2024 Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning NeurIPS 2024 Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework COLT 2024 Stochastic contextual bandits with graph feedback: from independence number to MAS number NeurIPS 2024 The Non-linear F-Design and Applications to Interactive Learning ICML 2024 Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective AISTATS 2024 Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health AAAI 2024