Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Dynamic Control of Explore/Exploit Trade-Off In Bayesian Optimization
Scalable Bayesian Optimization Using Deep Neural Networks
Thompson Sampling: An Asymptotically Optimal Finite Time Analysis
Adaptive MCMC with Bayesian Optimization
Learning to Optimize
Time-Varying Gaussian Process Bandit Optimization
stochastic optimization : a review .
Contextual Gaussian Process Bandit Optimization
Optimistic Bayesian sampling in contextual-bandit problems
A case for efficient accelerator design space exploration via Bayesian optimization
Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control
Bayesian Optimization in a Billion Dimensions via Random Embeddings
Sample-efficient Policy Optimization with Stein Control Variate
Continuous dynamic optimisation using evolutionary algorithms
High Dimensional Bayesian Optimisation and Bandits via Additive Models
An Efficient Bandit Algorithm for Realtime Multivariate Optimization
Thompson Sampling is Asymptotically Optimal in General Environments
Efficient Exploration Through Bayesian Deep Q-Networks
Thompson Sampling for Dynamic Pricing
Bootstrapped Thompson Sampling and Deep Exploration
Exploration-exploitation trade-off using variance estimates in multi-armed bandits
Unsupervised Segmentation Helps Supervised Learning of Character Tagging for Word Segmentation and Named Entity Recognition
All Your GPS Are Belong To Us: Towards Stealthy Manipulation of Road Navigation Systems
An Experimental Approach to Spectrum Sensing in Cognitive Radio Networks with Off-the-Shelf IEEE 802.11 Devices
Contextual Gaussian Process Bandit Optimization
Comparative Analysis of Master-Slave Latches and Flip-Flops for High-Performance and Low-Power Systems