Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: An evaluation of sequential model-based optimization for expensive blackbox functions
Efficient Global Optimization of Expensive Black-Box Functions
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization
Bayesian Optimization with Exponential Convergence
The Cross-Entropy Method for Optimization
A Comparison of Global Search Algorithms for Continuous Black Box Optimization
Modular mechanisms for Bayesian optimization
BOCK : Bayesian Optimization with Cylindrical Kernels
On a New Improvement-Based Acquisition Function for Bayesian Optimization
Bayesian Optimization for Machine Learning : A Practical Guidebook
Stochastic Optimization Using a Trust-Region Method and Random Models
Constrained Bayesian Optimization with Noisy Experiments
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features
The Cross-Entropy Method Optimizes for Quantiles
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits
A Survey of Methods for Explaining Black Box Models
Bayesian Optimization with Empirical Constraints ( PhD Proposal )
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
Sequential model-based optimization for general algorithm configuration
A model-based framework: an approach for profit-driven optimization
Integrating the 3+1 SysML view model with safety engineering
African swine fever virus genome content and variability.
understanding the empirical hardness of np - complete problems .
Deep Learning Phase Segregation
Random forests