README.md

MiniBayesOpt

Mini Bayesian Optimization package at ACML2020 Tutorial on Bayesian Optimization

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

demo_2dimension_BO.ipynb

Demo and Visualization for batch BO

demo_batch_BO.ipynb

Customize your own black-box function

demo_customize_your_own_function.ipynb

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.