/MiniBO

Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization

Primary LanguageJupyter NotebookMIT LicenseMIT

MiniBayesOpt

Mini Bayesian Optimization package at ACML2020 Tutorial on Bayesian Optimization

Open In Colab

Website: http://vu-nguyen.org/BOTutorial_ACML20.html

Python environment

To create the working environment, please use

conda env create -f environment.yml

Demo and Visualization in 1d and 2d

demo_1dimension_BO.ipynb

Open In Colab

demo_2dimension_BO.ipynb

Open In Colab

Demo and Visualization for batch BO

demo_batch_BO.ipynb

Open In Colab

Customize your own black-box function

demo_customize_your_own_function.ipynb

Open In Colab

Dependencies

  • numpy >= 1.9.0
  • scipy >= 1.14.0
  • scikit-learn >= 0.16.1
  • tabulate >= 0.8.7
  • matplotlib>=3.1.0

Slides and Presentation

Visit http://vu-nguyen.org/BO_Part_1.pdf and http://vu-nguyen.org/BO_Part_2.pdf

Video

http://videolectures.net/acml2020_Nguyen20c/

Reference

Vu Nguyen.  "Tutorial on Recent Advances in Bayesian Optimization" Asian Conference on Machine Learning (ACML), 2020.