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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

Related topics

12 relations
Bayesian experimental designDeep learningDerivative-free optimizationGlobal optimization

Broader (2)

Machine learningStochastic optimization

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
High-variance multivariate time series forecasting using machine learning
There are several tools and models found in machine learning that can be used to forecast a certain time series; however, it is… 
2018
2018
PHOENICS: A universal deep Bayesian optimizer
In this work we introduce PHOENICS, a probabilistic global optimization algorithm combining ideas from Bayesian optimization with… 
2016
2016
Tomography SAR Imaging Strategy Based on Block-Sparse Model
The compressed sensing (CS) based imaging methods for tomography SAR perform well in the case of large number of baselines… 
2014
2014
Optimizing Without Derivatives: What Does the No Free Lunch Theorem Actually Say?
One of the most important stages in many areas of engineering and applied sciences is modeling and the use of optimization… 
2013
2013
Active Tactile Exploration for Grasping
This paper addresses the problem of robotic grasp optimization. Due to uncertainty both on the robot kinematics, motor control… 
Review
2013
Review
2013
Robot Learning : Some Recent Examples
This paper provides a brief overview of three recent contributions to robot learning developed by researchers at the University… 
2011
2011
Opportunity Cost in Bayesian Optimization
A major advantage of Bayesian optimization is that it generally requires fewer function evaluations than optimization methods… 
2009
2009
Hybrid models based on biological approaches for speech recognition
This paper aims to adapt the Clonal Selection Algorithm (CSA) which is usually used to explain the basic features of artificial… 
2007
2007
Parallel BMDA with probability model migration
The paper presents a new concept of parallel bivariate marginal distribution algorithm using the stepping stone based model of… 
2001
2001
THE DISTRIBUTED BAYESIAN OPTIMIZATION ALGORITHM FOR COMBINATORIAL OPTIMIZATION
The Bayesian Optimization Algorithm (BOA) belongs to the probabilistic model building genetic algorithms where crossover and… 
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