ML Anthology

Exploring Bayesian Optimization

Apoorv Agnihotri, Nipun Batra
Distill 2020
doi:10.23915/distill.00026 /distill/2020/agnihotri2020distill-exploring/

Abstract

Distill articles are interactive publications and do not include traditional abstracts. This summary was written for the ML Anthology. Provides an interactive introduction to Bayesian optimization, explaining how surrogate models and acquisition functions like expected improvement guide efficient hyperparameter search by balancing exploration and exploitation.

Distill Code Semantic Scholar

Cite

Text

Agnihotri and Batra. "Exploring Bayesian Optimization." Distill, 2020. doi:10.23915/distill.00026

Markdown

[Agnihotri and Batra. "Exploring Bayesian Optimization." Distill, 2020.](https://mlanthology.org/distill/2020/agnihotri2020distill-exploring/) doi:10.23915/distill.00026

BibTeX

@article{agnihotri2020distill-exploring,
  title     = {{Exploring Bayesian Optimization}},
  author    = {Agnihotri, Apoorv and Batra, Nipun},
  journal   = {Distill},
  year      = {2020},
  doi       = {10.23915/distill.00026},
  url       = {https://mlanthology.org/distill/2020/agnihotri2020distill-exploring/}
}