Skip to content

Released code for ICDM 2016 Budgeted Batch Bayesian Optimization

License

Notifications You must be signed in to change notification settings

ntienvu/ICDM2016_B3O

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Bayesian Optimization

Python implementation of Budgeted Batch Bayesian Optimization (B3O) with Gaussian Processes.

Installation

Dependencies

  • Numpy
  • Scipy
  • Scikit-learn
  • keras (to run experiment with deep learning)
  • nlopt (optional)

Usage:

  • Check the ipynb folder for the demo using iPython notebook
  • Run the experiments using our approaches and the baselines in run_batch folder.

Contact:

Dr Vu Nguyen, vu@ieee.org

Reference:

Vu Nguyen, Santu Rana, Sunil Gupta, Cheng Li, and Svetha Venkatesh. "Budgeted batch bayesian optimization." In IEEE 16th International Conference on Data Mining (ICDM), pp. 1107-1112, 2016.

About

Released code for ICDM 2016 Budgeted Batch Bayesian Optimization

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published