contextual bandit

AdaLinUCB: Opportunistic Learning for Contextual Bandits IJCAI 2019 A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal and Parameter-free COLT 2019 A Practical Semi-Parametric Contextual Bandit IJCAI 2019 Balanced Linear Contextual Bandits AAAI 2019 CAB: Continuous Adaptive Blending for Policy Evaluation and Learning ICML 2019 Contextual bandits with continuous actions: Smoothing, zooming, and adapting COLT 2019 Contextual Bandits with Cross-Learning NeurIPS 2019 Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model ICML 2019 Doubly-Robust Lasso Bandit NeurIPS 2019 Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions NeurIPS 2019 Efficient Linear Bandits through Matrix Sketching AISTATS 2019 From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization NeurIPS 2019 Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits ICML 2019 Imitation-Regularized Offline Learning AISTATS 2019 Incorporating Behavioral Constraints in Online AI Systems AAAI 2019 InterSpot: Interactive Spammer Detection in Social Media IJCAI 2019 Learning in Generalized Linear Contextual Bandits with Stochastic Delays NeurIPS 2019 Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking IJCAI 2019 Model Selection for Contextual Bandits NeurIPS 2019 Multi-Objective Generalized Linear Bandits IJCAI 2019 Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric NeurIPS 2019 Offline Contextual Bandits with High Probability Fairness Guarantees NeurIPS 2019 Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy ICLR 2019 Optimal Exploitation of Clustering and History Information in Multi-armed Bandit IJCAI 2019 Personalizing Many Decisions with High-Dimensional Covariates NeurIPS 2019