jekyllstein / HORDOpt.jl

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates https://arxiv.org/abs/1607.08316

HORDOpt

Code for reproducing results published in the paper "Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates" (AAAI-17) by Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, and Christine Annette Shoemaker.

arXiv -- PDF

Installation

Within Julia REPL enter Pkg mode by typing ']' then execute

add https://github.com/jekyllstein/HORDOpt.jl.git

Ensure packaging has been installed properly by running Pkg.test("HORDOpt")

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Usage

License

HORDOpt.jl is released under the GPLv3 license.

Citing the HORD algorithm

To cite the paper use the following BibTeX entry:

@inproceedings{ilievski2017efficient,
  title={Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates},
  author={Ilievski, Ilija and Akhtar, Taimoor and Feng, Jiashi and Shoemaker, Christine},
  booktitle={31st AAAI Conference on Artificial Intelligence (AAAI-17)},
  year={2017}
}