Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: taking the human out of the loop : a review of bayesian optimization .
Application of Bayesian approach to numerical methods of global and stochastic optimization
Bayesian modeling of human sequential decision-making on the multi-armed bandit problem
Bayesian Experimental Design: A Review
A modern Bayesian look at the multi-armed bandit
Gaussian Process Optimization with Mutual Information
Stochastic Optimization with Bandit Sampling
On Bayesian Methods for Seeking the Extremum and their Application.
Input Warping for Bayesian Optimization of Non-stationary Functions
Initializing bayesian hyperparameter optimization via meta-learning
An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions
Finding Optimal Bayesian Networks
Multi-objective Bayesian optimization algorithm for real-time task scheduling on heterogeneous multiprocessors
Towards autonomous reinforcement learning: Automatic setting of hyper-parameters using Bayesian optimization
Near Optimal Bayesian Active Learning for Decision Making
Contextual Gaussian Process Bandit Optimization
Variational Bayesian Inference with Stochastic Search
Thompson Sampling is Asymptotically Optimal in General Environments
Learning to Optimize
Efficient Bayesian Network Learning for System Optimization in Reliability Engineering
Thompson Sampling: An Asymptotically Optimal Finite Time Analysis
Generalized dictionary for multitask learning with boosting
1 Bid-Response Models for Customized Pricing
Building camera arrays for light-field capture, display, and analysis
Sequential model-based optimization for general algorithm configuration
Mathematically gifted adolescents mobilize enhanced workspace configuration of theta cortical network during deductive reasoning