Author Archives: Katharina Eggensperger

Auto-Sklearn 2.0: The Next Generation

Since our initial release of auto-sklearn 0.0.1 in May 2016 and the publication of the NeurIPS paper “Efficient and Robust Automated Machine Learning” in 2015, we have spent a lot of time on maintaining, refactoring and improving code, but also on new research. Now, we’re finally ready to share the next version of our flagship AutoML system: Auto-Sklearn 2.0.

This new version is based on our experience from winning the second ChaLearn AutoML challenge@PAKDD’18 (see also the respective chapter in the AutoML book) and integrates improvements we thoroughly studied in our upcoming paper. Here are the main insights:

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PoSH Auto-sklearn

We did it again: world champions in AutoML

By André Biedenkapp, Katharina Eggensperger, Matthias Feurer, Frank Hutter Our ML Freiburg lab is the world champion in automatic machine learning (AutoML) again! After winning the first international AutoML challenge (2015-2016), we also just won the second international AutoML challenge (2017-2018). Our system PoSH-Auto-sklearn outperformed all other 41 participating AutoML systems. What is AutoML and […]

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