2nd AutoML
Fall School 2022


By increasing the efficiency of ML-application development and supporting users in crucial design decisions, AutoML became a key approach in the toolkit of many developers and researchers. Although there is an exponentially growing interest in AutoML, AutoML is so far only rarely taught at universities and there is a large gap between the current state of the art in research and disseminated knowledge. The AutoML Fall School will cover core topics of AutoML, covering basics, state-of-the-art approaches and hands-on sessions. Enthusiastic AutoML experts will present their diverse views on AutoML to ML practitioners, developers, research engineers, researchers and students.

Date: Oct 10th - Oct 13th 2022 Place: Freiburg, Germany

Key Features

Learn from world-leading
experts in AutoML

Hands-on sessions with
open-source packages

Talk to people --
Increase your network

Social Events

Invited Speakers

Aleksandra Faust
(Google Brain)
Title. Automated Reinforcement Learning

Luigi Nardi
(Stanford & Lund University)
Title: User-Priors for Hyperparameter Optimization

Colin White

Tentative Title: Neural Architecture Search

Joeran Beel
(University of Siegen)
Title: Recommender Systems for AutoML and AutoML for Recommender Systems

Carola Doerr
(CNRS & Sorbonne Université)
Title: Dynamic Selection and Configuration of Optimization Algorithms: From Hyperparameter Control to AutoML

Luc de Raedt
(KU Leuven)
Title: On the Automation of
Data Science

Hands-On Session by

Nick Erickson & Alex Smola
Topic: AutoGluon

Rhea Sukthanker & Arjun Krishnakumar
(University of Freiburg)
Topic: NASLib

Matthias Feurer &
Katharina Eggensperger &
Edward Bergman
(University of Freiburg)
Topic: Auto-Sklearn

Team of Erin LeDell
Topic: Automatic & Explainable Machine Learning with H2O


AutoML Decathlon

This year, our hackathon will focus on bringing you up to speed for the AutoML Decathlon. The AutoML Decathlon is likely the most important AutoML competition in 2022 and awards a prize money of $15.000 to the winning team.
Ameet, Nicholas and Samuel will give a hands-on introduction to the Decathlon setup. We hope that this, combined with all the other lectures and hands-ons, will enable participants of the AutoML Fall School to be ranked in the upper part of the AutoML Decathlon 2022.

For more information, see the Decathlon website and our hands-on session.

In the meantime, join our AutoML MOOC

... available for free at ai-campus.org and a perfect opportunity for getting a basic background in AutoML before attending our AutoML Fall school.

Organized by Members of