Bayesian optimization
Bayesian optimization is a sequential design strategy for global optimization of black-box functions that does not assume any functional forms. It is usually employed to optimize expensive-to-evaluate functions.
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- Activity100407535
- Cognition100023271
- Event100029378
- Experiment100639556
- Investigation100633864
- Know-how105616786
- Method105660268
- PsychologicalFeature100023100
- Research100636921
- ScientificResearch100641820
- software
- WikicatSequentialExperiments
- WikicatSequentialMethods
- Work100575741
- YagoPermanentlyLocatedEntity
- Comment
- enBayesian optimization is a sequential design strategy for global optimization of black-box functions that does not assume any functional forms. It is usually employed to optimize expensive-to-evaluate functions.
- Depiction
- Has abstract
- enBayesian optimization is a sequential design strategy for global optimization of black-box functions that does not assume any functional forms. It is usually employed to optimize expensive-to-evaluate functions.
- Hypernym
- Optimization
- Is primary topic of
- Bayesian optimization
- Label
- enBayesian optimization
- Link from a Wikipage to an external page
- bayeso.org
- bitbucket.org/mlcircus/bayesopt.m
- botorch.org
- github.com/GPflow/GPflow
- github.com/GPflow/GPflowOpt
- github.com/SheffieldML/GPy
- gpytorch.ai
- www.cs.ubc.ca/labs/beta/Projects/SMAC/
- rmcantin.bitbucket.io/html/
- sheffieldml.github.io/GPyOpt/
- sigopt.com/
- www.tensorflow.org/
- github.com/yelp/MOE
- mindfoundry.ai/optaas
- github.com/AnotherSamWilson/ParBayesianOptimization
- www.tensorflow.org/probability
- github.com/mwhoffman/pybo
- github.com/HIPS/Spearmint
- github.com/secondmind-labs/trieste
- github.com/google/vizier
- Link from a Wikipage to another Wikipage
- Bayesian expected losses
- Bayesian experimental design
- Black box
- Broyden–Fletcher–Goldfarb–Shanno algorithm
- Category:Machine learning
- Category:Sequential experiments
- Category:Sequential methods
- Category:Stochastic optimization
- Computer graphics
- Deep learning
- Derivative
- Dimension
- Expected improvement
- Exploration and exploitation
- File:GpParBayesAnimationSmall.gif
- Gaussian process
- Global optimization
- Kriging
- Learning to rank
- Lower confidence bound
- Machine learning
- Mathematical optimization
- Multi-armed bandit
- Newton's method in optimization
- Pareto optimum
- Particle physics
- Parzen-Tree Estimator
- Posterior distribution
- Prior distribution
- Probabilistic numerics
- Probability of improvement
- Reinforcement learning
- Robotics
- Sensor networks
- Sequential analysis
- Thompson sampling
- Upper confidence bound
- SameAs
- Bayesian optimization
- Bayes’sche Optimierung
- fQjq
- m.0ywxl88
- Optimització bayesiana
- Q17002908
- Subject
- Category:Machine learning
- Category:Sequential experiments
- Category:Sequential methods
- Category:Stochastic optimization
- Thumbnail
- WasDerivedFrom
- Bayesian optimization?oldid=1121149520&ns=0
- WikiPageLength
- 14260
- Wikipage page ID
- 40973765
- Wikipage revision ID
- 1121149520
- WikiPageUsesTemplate
- Template:Citation needed
- Template:Ill
- Template:Reflist
