contextual bandit

Policy Evaluation with Latent Confounders via Optimal Balance NeurIPS 2019 Reading Like HER: Human Reading Inspired Extractive Summarization EMNLP 2019 Regularized Contextual Bandits AISTATS 2019 Semi-Parametric Dynamic Contextual Pricing NeurIPS 2019 Semi-Parametric Sampling for Stochastic Bandits with Many Arms AAAI 2019 Stochastic Bandits with Context Distributions NeurIPS 2019 Surrogate Objectives for Batch Policy Optimization in One-step Decision Making NeurIPS 2019 Target Tracking for Contextual Bandits: Application to Demand Side Management ICML 2019 Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration IJCAI 2019 Thompson Sampling for Multinomial Logit Contextual Bandits NeurIPS 2019 Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback ICML 2019 A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem NeurIPS 2018 Bandit Learning with Implicit Feedback NeurIPS 2018 BanditSum: Extractive Summarization as a Contextual Bandit EMNLP 2018 Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis MLHC 2018 Contextual Bandits with Stochastic Experts AISTATS 2018 Contextual bandits with surrogate losses: Margin bounds and efficient algorithms NeurIPS 2018 Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward NeurIPS 2018 Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling ICLR 2018 Deep Learning with Logged Bandit Feedback ICLR 2018 Differentially Private Contextual Linear Bandits NeurIPS 2018 Efficient Contextual Bandits in Non-stationary Worlds COLT 2018 Learning Structural Weight Uncertainty for Sequential Decision-Making AISTATS 2018 Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits ICML 2018 Mitigating Bias in Adaptive Data Gathering via Differential Privacy ICML 2018