Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls
PAC Subset Selection in Stochastic Multi-armed Bandits
Exploiting the Natural Exploration In Contextual Bandits
Dynamic Contextual Multi Arm Bandits in Display Advertisement
Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret
ucb revisited : improved regret bounds for the stochastic multi - armed bandit problem .
A Neural Networks Committee for the Contextual Bandit Problem
Stochastic Dual Coordinate Descent with Bandit Sampling.
Prior-free and prior-dependent regret bounds for Thompson Sampling
Finite-Time Analysis of Kernelised Contextual Bandits
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization
Multi-Dueling Bandits and Their Application to Online Ranker Evaluation
A Contextual Bandit Bake-off
Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
action elimination and stopping conditions for the multi - armed bandit and reinforcement learning problems .
Adaptive Machine Learning Winter 2018 Lecture 9 : Linear Bandits and Thompson Sampling
Sparse Dueling Bandits
Achieving Privacy in the Adversarial Multi-Armed Bandit
Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits
Further Optimal Regret Bounds for Thompson Sampling
Optimistic Bayesian sampling in contextual-bandit problems
The Sample Complexity of Exploration in the Multi-Armed Bandit Problem
Overlapping community detection using a community optimized graph swarm
Pose estimation for non-cooperative spacecraft rendezvous using convolutional neural networks
Towards Unsupervised Ontology Learning from Data
The Psychology of Neurofeedback: Clinical Intervention Even if Applied Placebo