Hadar Shavit

PhD candidate at the Chair of AI Methodology RWTH Aachen.

I am a PhD candidate at RWTH Aachen. My research focus is AutoAI methods, specifically algorithm configuration and selection with various applications. My specialisation is in empirical performance models, the machine learning models that predict the performance of algorithms without running them. These models play crucial roles in algorithm configuration and selection.

Email  /  GitHub  /  Google Scholar

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Publications

The following is a list of my publications. For a complete list, please see my Google Scholar page.

ASF: Algorithm Selection Framework


Hadar Shavit, Holger H. Hoos
GitHub, 2024
bib code documentation

A flexible python algorithm selection framework

Revisiting SATZilla Features in 2024


Hadar Shavit, Holger H. Hoos
SAT, 2024
bib code paper

A new version of the SATzilla feature extraction tool for SAT. Using our new version we achieved better performance for algorithm selection and empirical performance prediction.