contextual bandit

Contextual Bandits with Knapsacks for a Conversion Model NeurIPS 2022 Contextual Bandits with Large Action Spaces: Made Practical ICML 2022 Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces ICML 2022 Contextual Information-Directed Sampling ICML 2022 Context Uncertainty in Contextual Bandits with Applications to Recommender Systems AAAI 2022 Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms ICML 2022 Dynamic pricing and assortment under a contextual MNL demand NeurIPS 2022 EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits ICLR 2022 Effective Dimension in Bandit Problems under Censorship NeurIPS 2022 Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems NeurIPS 2022 Efficient Kernelized UCB for Contextual Bandits AISTATS 2022 Efficient Online Bayesian Inference for Neural Bandits AISTATS 2022 Encrypted Linear Contextual Bandit AISTATS 2022 ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine NeurIPS 2022 Expected Improvement for Contextual Bandits NeurIPS 2022 Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits NeurIPS 2022 Federated online clustering of bandits UAI 2022 Group Meritocratic Fairness in Linear Contextual Bandits NeurIPS 2022 Hindsight Network Credit Assignment: Efficient Credit Assignment in Networks of Discrete Stochastic Units AAAI 2022 How to talk so AI will learn: Instructions, descriptions, and autonomy NeurIPS 2022 Improved Algorithms for Misspecified Linear Markov Decision Processes AISTATS 2022 Instance-optimal PAC Algorithms for Contextual Bandits NeurIPS 2022 Inverse Contextual Bandits: Learning How Behavior Evolves over Time ICML 2022 Langevin Monte Carlo for Contextual Bandits ICML 2022 Learning from Distributed Users in Contextual Linear Bandits Without Sharing the Context NeurIPS 2022