contextual bandit

Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits UAI 2020 Information Directed Sampling for Linear Partial Monitoring COLT 2020 Kernel Methods for Cooperative Multi-Agent Contextual Bandits ICML 2020 Latent Bandits Revisited NeurIPS 2020 Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories ICLR 2020 Linear bandits with Stochastic Delayed Feedback ICML 2020 Locally Differentially Private (Contextual) Bandits Learning NeurIPS 2020 Model Selection in Contextual Stochastic Bandit Problems NeurIPS 2020 Multi-Feedback Bandit Learning with Probabilistic Contexts IJCAI 2020 Neural Contextual Bandits with UCB-based Exploration ICML 2020 Online Algorithm for Unsupervised Sequential Selection with Contextual Information NeurIPS 2020 Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments AAAI 2020 Online Learning in Contextual Bandits using Gated Linear Networks NeurIPS 2020 Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit IJCAI 2020 Open Problem: Model Selection for Contextual Bandits COLT 2020 Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior JMLR 2020 Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank COLT 2020 Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes COLT 2020 Stochastic Linear Contextual Bandits with Diverse Contexts AISTATS 2020 Stochastic Neural Network with Kronecker Flow AISTATS 2020 Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis ICML 2020 Sublinear Optimal Policy Value Estimation in Contextual Bandits AISTATS 2020 Taking a hint: How to leverage loss predictors in contextual bandits? COLT 2020 Thompson Sampling via Local Uncertainty ICML 2020 Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information COLT 2019