Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit
Algorithms for adversarial bandit problems with multiple plays
Generalized Thompson Sampling for Contextual Bandits
Budgeted Bandit Problems with Continuous Random Costs
A Contextual Bandit Bake-off
Beyond Success Rate: Utility as a Search Quality Metric for Online Experiments
Near-Optimal Regret Bounds for Thompson Sampling
Calibrated Fairness in Bandits
Multi-Armed Bandits for Intelligent Tutoring Systems
Contextual Bandits with Linear Payoff Functions
Distributed Learning in Multi-Armed Bandit with Multiple Players
Efficient Optimal Learning for Contextual Bandits
Adaptive Monte Carlo via Bandit Allocation
Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations
Prior-free and prior-dependent regret bounds for Thompson Sampling
Influence Maximization with Semi-Bandit Feedback
A continuous-time approach to online optimization
Dynamic Contextual Multi Arm Bandits in Display Advertisement
An Empirical Evaluation of Thompson Sampling
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Achieving Privacy in the Adversarial Multi-Armed Bandit
Blended learning at pre-service teacher education in Turkey: A systematic review
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
Automatic creation of WordNets from parallel corpora
A contextual-bandit approach to personalized news article recommendation
a semantic web services architecture .