Registration

• Student (undergraduate and graduate students): 250€ (early bird) or 400€ (regular registration)

• Non-student at publicly funded entity (Postdoc, Professors, research institute): 380€ (early bird) or 550€ (regular registration)

• Professional from a company: 850€ (early bird) or 1100€ (regular registration)

The early bird deadline ended 30th of September 2023 (midnight UTC+2).

The regular registration ended 21st of November 2023 (10:00AM UTC+1).

To ensure a great experience in attending the fall school, there will be an upper limit of 70 attendees. You can register via the integrated page below or use this weblink.

The goal of the fall school is to provide an overview over the state of the art in the field of AutoML. To get the most of the fall school, we expect that every attendee has a strong background in machine learning and deep learning, and is aware of the basics of AutoML. For the latter, we strongly recommend to watch the following chapters from our MOOC on the ai-campus.org:

• Chapter 1: Introduction

• Chapter 3: Hyperparameter Optimization (Videos 1-3)

• Chapter 4 : Bayesian Optimization (Videos 1, 2 and 4)

• Chapter 9: Neural Architecture Search I  (Videos 1-3)

• Chapter 10: Neural Architecture Search II (Videos 1 and 2)

Since it will be an in-person school, we ask all attendees to have the following things set up and ready:

• Laptop on which you are able to run Colab notebooks -- please check your firewall settings if nec.

• slds@stat.uni-muenchen.de