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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.
2020
2020
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic
Probabilistic soft logic (PSL) is a statistical relational learning framework that represents complex relational models with… 
2019
2019
Modulated Bayesian Optimization using Latent Gaussian Process Models
We present an approach to Bayesian Optimization that allows for robust search strategies over a large class of challenging… 
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… 
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… 
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… 
2000
2000
A C++ Implementation of the Bayesian Optimization Algorithm (BOA) with Decision Graphs
The paper explains how to download compile and use the C implementation of the Bayesian optimization algorithm BOA with decision…