Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: A General Framework for Constrained Bayesian Optimization using Information-based Search
Bayesian Optimization with Unknown Constraints
Entropy Search for Information-Efficient Global Optimization
Towards an Empirical Foundation for Assessing Bayesian Optimization of Hyperparameters
RoBO : A Flexible and Robust Bayesian Optimization Framework in Python
Batched Large-scale Bayesian Optimization in High-dimensional Spaces
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits
Bayesian Optimization for Machine Learning : A Practical Guidebook
Practical Bayesian Optimization of Machine Learning Algorithms
Active Bayesian Optimization: Minimizing Minimizer Entropy
Freeze-Thaw Bayesian Optimization
Bayesian optimization for conditional hyperparameter spaces
taking the human out of the loop : a review of bayesian optimization .
Theoretical and Empirical Analysis of a GPU Based Parallel Bayesian Optimization Algorithm
Scalable Bayesian Optimization Using Deep Neural Networks
Asynchronous Parallel Bayesian Optimisation via Thompson Sampling
Variational Information Maximizing Exploration
Multiple trajectory search for unconstrained/constrained multi-objective optimization
BOA: The Bayesian Optimization Algorithm
Practical Bayesian optimization in the presence of outliers
Scalable Meta-Learning for Bayesian Optimization
Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications
Master Data Management: Products and Research.
FEATURE EXTRACTION USING SURF ALGORITHM FOR OBJECT RECOGNITION
Field and observer perspectives in autobiographical memory
Adaptive MCMC with Bayesian Optimization