2nd AutoML
Fall School 2022
Motivation
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.
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
(Abacus.AI)
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
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
(H2O)
Topic: Automatic & Explainable Machine Learning with H2O
Hackathon
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
