GPflowOpt
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Contents:

  • Introduction
  • Tutorials and examples
    • First steps into Bayesian optimization
    • Bayesian Optimization with black-box constraints
    • Defining new acquisition functions
    • Bayesian Optimization of Hyperparameters
    • Bayesian Multiobjective Optimization
  • API and architecture
GPflowOpt
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  • Tutorials and examples
  • Edit on GitHub

Tutorials and examplesΒΆ

  • First steps into Bayesian optimization
    • Introduction
    • Objective function
    • Bayesian optimizer
  • Bayesian Optimization with black-box constraints
    • Introduction
    • Constrained problem
    • Modeling and joint acquisition function
    • Initial belief
    • Running Bayesian Optimizer
    • Results
  • Defining new acquisition functions
    • Introduction
    • Augmented expected improvement
    • Results
  • Bayesian Optimization of Hyperparameters
    • Introduction
    • Data set
    • Modeling
    • Hyperparameter optimization
  • Bayesian Multiobjective Optimization
    • Introduction
    • Multiobjective acquisition function
    • Running the Bayesian optimizer
    • Plotting the results
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© Copyright 2017, Joachim van der Herten. Revision f1c268e6.

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