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Julia Moosbauer

2 accepted papers

2024

Position: A Call to Action for a Human-Centered AutoML Paradigm

ICML 2024poster

Automated machine learning (AutoML) was formed around the fundamental objectives of automatically and efficiently configuring machine learning (ML) workflows, aiding the research of new ML algorithms, and contributing to the democratization of ML by making it accessible to a broader audience. Over t…

Cited by 8SourcePDFScholar
2021

Explaining Hyperparameter Optimization via Partial Dependence Plots

NeurIPS 2021poster

Automated hyperparameter optimization (HPO) can support practitioners to obtain peak performance in machine learning models. However, there is often a lack of valuable insights into the effects of different hyperparameters on the final model performance. This lack of explainability makes it difficul…