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Bayesian optimization

Bayesian optimization is a sequential design strategyfor global optimization of black-box functions that doesn't require derivatives.
Wikipedia

Related topics

Related topics

12 relations
Bayesian experimental designDeep learningDerivative-free optimizationGlobal optimization
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Broader (2)

Machine learningStochastic optimization

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
A Tutorial on Bayesian Optimization
Bayesian optimization is an approach to optimizing objective functions that take a long time (minutes or hours) to evaluate. It… Expand
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Highly Cited
2017
Highly Cited
2017
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Bayesian optimization has become a successful tool for hyperparameter optimization of machine learning algorithms, such as… Expand
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Review
2016
Review
2016
Taking the Human Out of the Loop: A Review of Bayesian Optimization
Big Data applications are typically associated with systems involving large numbers of users, massive complex software systems… Expand
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Highly Cited
2015
Highly Cited
2015
Scalable Bayesian Optimization Using Deep Neural Networks
Bayesian optimization is an effective methodology for the global optimization of functions with expensive evaluations. It relies… Expand
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Highly Cited
2015
Highly Cited
2015
Initializing Bayesian Hyperparameter Optimization via Meta-Learning
Model selection and hyperparameter optimization is crucial in applying machine learning to a novel dataset. Recently, a sub… Expand
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Highly Cited
2013
Highly Cited
2013
Multi-Task Bayesian Optimization
Bayesian optimization has recently been proposed as a framework for automatically tuning the hyperparameters of machine learning… Expand
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Highly Cited
2012
Highly Cited
2012
Practical Bayesian Optimization of Machine Learning Algorithms
The use of machine learning algorithms frequently involves careful tuning of learning parameters and model hyperparameters… Expand
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Review
2010
Review
2010
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
We present a tutorial on Bayesian optimization, a method of finding the maximum of expensive cost functions. Bayesian… Expand
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Highly Cited
2005
Highly Cited
2005
Bayesian Optimization Algorithm
In this paper an algorithm based on the concepts of genetic algorithms that uses an estimation of a probability distribution of… Expand
Highly Cited
1999
Highly Cited
1999
BOA: the Bayesian optimization algorithm
In this paper, an algorithm based on the concepts of genetic algorithms that uses an estimation of a probability distribution of… Expand
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