Registration

• Student (undergraduate and graduate students): 220€ (early bird) or 270€ (late registration)

• Researcher (at an university or publicly funded institutes; postdoc, professors and similar positions): 370€ (early bird) or 470€ (late registration)

• Professional from a company: 730€ (early bird) or 930€ (late registration)

All fees include:

• 4x morning coffee breaks

• 4x afternoon coffee breaks

• 4x lunches

• the welcome dinner, and

• tickets for public transport for 4 days.

Early bird deadline ends 9th of September 2022 (midnight UTC+2).

Deadline to apply for scholarship: 4th of September (midnight UTC+2)

Deadline for Payment: 30th of September 2022.

To register please click on the following link: https://www.conftool.org/automl-fall-school-2022

To ensure a great experience in attending the fall school, there will be an upper limit of 100 attendees. If we will receive more 100 applications by September 1st, we will close the application process.

We will inform all registered attendees latest on September 30th whether they got a slot. To ensure that all slots are indeed really used, we ask to pay the registration fee latest September 30th.

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)

We offer scholarships for 5 students. These don't have to pay the registration fee and can join for free. Further, we reserved hotel rooms at a reduced price for all scholarship students in the InterCity Hotel Freiburg. The distribution of the scholarships are decided by the organization committee and is based on previous achievements in the field of machine learning, AutoML and related fields. Please indicate in the registration process whether you are interested in a scholarship.

We will inform all applicants shortly after Sept 4th whether they got the scholarship.

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.

In case of having to switch to a fully virtual event, we ask all attendees to have the following things set up and ready:

• Webcam and microphone

• Able to run Zoom -- the app is preferred over the web browser

• Able to run Colab notebooks -- please check your firewall settings if nec.

• Marius Lindauer