Bayesian optimization

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

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

Machine learningStochastic optimization

Papers overview

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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… (More)
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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… (More)
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Highly Cited
2014
Highly Cited
2014
Bayesian Optimization with Unknown Constraints
Recent work on Bayesian optimization has shown its effectiveness in global optimization of difficult black-box objective… (More)
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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… (More)
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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… (More)
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Highly Cited
2011
Highly Cited
2011
Portfolio Allocation for Bayesian Optimization
Bayesian optimization with Gaussian processes has become an increasingly popular tool in the machine learning community. It is… (More)
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Highly Cited
2006
Highly Cited
2006
Hierarchical Bayesian Optimization Algorithm
The hierarchical Bayesian optimization algorithm (hBOA) solves nearly decomposable and hierarchical optimization problems… (More)
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Highly Cited
2002
Highly Cited
2002
Bayesian Optimization Algorithms for Multi-objective Optimization
In recent years, several researchers have concentrated on using probabilistic models in evolutionary algorithms. These Estimation… (More)
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Highly Cited
2002
Highly Cited
2002
Scalability of the Bayesian optimization algorithm
To solve a wide range of different problems, the research in black-box optimization faces several important challenges. One of… (More)
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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… (More)
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