4th AutoML
School 2024

Date: September 2nd - 6th 2024 Place: Hannover, Germany

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

Keynote Speakers by 

Kristian Kersting

Professor of ML & AI
at TU Darmstadt

Professor of ML
at Technical University Nürnberg

Jan van Rijn

Professor
at Leiden University 

Invited Speakers

Setareh Ariafar 

Research Engineer at Google Brain

Oleksandr Shchur

Applied Scientist at AWS AI

Basic Lectures By

Frank Hutter

Professor of ML
at University of Freiburg /
ELLIS Institute Tübingen

Professor of Statistical Learning and Data Science  
at Ludwig-Maximilians-University Munich 

Matthias Feurer

Professor and Thomas Bayes Fellow
at Ludwig-Maximilians-University Munich

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

Header image and logo under CC BY-SA 4.0 from ai-campus.org and automl.org; Illustrations by https://undraw.co/ Other images sourced from https://creativecommons.org/ under the CC BY 4.0 license.

The welcome dinner and christmas market footage is lincensed under the Creative Commons Attribution-Share Alike 3.0 Unported license.