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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 design
Deep learning
Derivative-free optimization
Global optimization
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Broader (2)
Machine learning
Stochastic optimization
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
PHOENICS: A universal deep Bayesian optimizer
Florian Hase
,
L. Roch
,
C. Kreisbeck
,
Alán Aspuru-Guzik
2018
Corpus ID: 55761652
In this work we introduce PHOENICS, a probabilistic global optimization algorithm combining ideas from Bayesian optimization with…
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2017
2017
FLASH: A Faster Optimizer for SBSE Tasks
V. Nair
,
Zhe Yu
,
T. Menzies
arXiv.org
2017
Corpus ID: 6748122
Most problems in search-based software engineering involve balancing conflicting objectives. Prior approaches to this task have…
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2016
2016
Tomography SAR Imaging Strategy Based on Block-Sparse Model
X. Ren
,
Fuyan Sun
2016
Corpus ID: 43194656
The compressed sensing (CS) based imaging methods for tomography SAR perform well in the case of large number of baselines…
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2014
2014
Optimizing Without Derivatives: What Does the No Free Lunch Theorem Actually Say?
L. Serafino
2014
Corpus ID: 17688853
One of the most important stages in many areas of engineering and applied sciences is modeling and the use of optimization…
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2013
2013
Active Tactile Exploration for Grasping
Filipe Veiga
,
Alexandre Bernardino
2013
Corpus ID: 17825041
This paper addresses the problem of robotic grasp optimization. Due to uncertainty both on the robot kinematics, motor control…
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2011
2011
Opportunity Cost in Bayesian Optimization
Jasper Snoek
,
H. Larochelle
,
Ryan P. Adams
2011
Corpus ID: 18883422
A major advantage of Bayesian optimization is that it generally requires fewer function evaluations than optimization methods…
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2011
2011
FILOGENIA MOLECULAR PRELIMINAR DE SCAPHOSEPALUM(ORCHIDACEAE:PLEUROTHALLIDINAE)
Lorena Endara
,
Norris H. Williams
,
W. M. Whitten
2011
Corpus ID: 83527284
El genero Scaphosepalum (Orchidaceae: Pleurothallidinae) agrupa a 49 especies de distribucion tanto amplia como restringida las…
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2007
2007
Parallel BMDA with probability model migration
J. Jaros
,
J. Schwarz
IEEE Congress on Evolutionary Computation
2007
Corpus ID: 16888876
The paper presents a new concept of parallel bivariate marginal distribution algorithm using the stepping stone based model of…
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2006
2006
The Constructing of Bayesian Networks Based on Intelligent Optimization
Youlong Yang
,
Yan Wu
,
Sanyang Liu
,
Jinxing Liu
Sixth International Conference on Intelligent…
2006
Corpus ID: 1025371
Bayesian optimization algorithm is very important a type of the intelligent optimization algorithms. It uses Bayesian networks to…
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2001
2001
THE DISTRIBUTED BAYESIAN OPTIMIZATION ALGORITHM FOR COMBINATORIAL OPTIMIZATION
Jiri Ocenasek
,
J. Schwarz
2001
Corpus ID: 5442310
The Bayesian Optimization Algorithm (BOA) belongs to the probabilistic model building genetic algorithms where crossover and…
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