Search Results for author: Jaeyeon Ahn

Found 2 papers, 1 papers with code

Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces

1 code implementation2 Feb 2022 Jaeyeon Ahn, Taehyeon Kim, Seyoung Yun

Real-world optimization problems are generally not just black-box problems, but also involve mixed types of inputs in which discrete and continuous variables coexist.

Bayesian Optimization Computational Efficiency +1

Adaptive Local Bayesian Optimization Over Multiple Discrete Variables

no code implementations7 Dec 2020 Taehyeon Kim, Jaeyeon Ahn, Nakyil Kim, Seyoung Yun

In the machine learning algorithms, the choice of the hyperparameter is often an art more than a science, requiring labor-intensive search with expert experience.

Bayesian Optimization BIG-bench Machine Learning +1

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