AutoML Seminar

Automated Machine Learning (short AutoML) automates the design decisions that go into building machine learning and agentic systems, making them more efficient, more robust and accessible to non-experts. This includes data preprocessing and feature engineering, model selection, hyperparameter optimization, neural architecture search, routing each task to the most suitable model or algorithm, and tabular foundation models such as TabPFN.

However, with the rising popularity of AutoML both in academia and industry, it also becomes increasingly harder to keep up with the latest work. The AutoML seminar is a platform to learn and discuss recent work in this field. In regular sessions we organize 40 minute talks by someone from the AutoML community followed by a 20 minute discussion. All content is free and open to anyone. If you are interested and want to join, please follow the steps listed below.

Next Talk

TBA

Join the Talks

Subscribe to our calendar to get all the updates about the seminars. All the information about new talks and how to connect is communicated there.

Also follow us on Twitter and subscribe to our Youtube to watch recordings of past talks.

Become a Speaker

If you want to become a speaker, please send an email to automlseminar - at - gmail - dot - com or contact one of the organizers. We particularly invite junior researchers to present their work. Talks should:

  • be interesting for an audience of AutoML experts
  • be based on research published at a top-tier machine learning conference (ICML, NeurIPS, ICLR, AutoML Conf, etc.) or present an open-source library for the AutoML community.

We are not strict about publication: if you want to present work that has not been published yet, please send us a draft.

Organizers

Aaron Klein
ELLIS Institute Tuebingen
Jovita Lukasik
University of Siegen
Lennart Purucker
University of Freiburg
Prior Labs
Lukas Fehring
Leibniz University Hannover

Past Organizers

Arber Zela
University of Freiburg
Giovanni Zappella
Amazon Web Services
Rhea Sukthanker
University of Freiburg
Frank Hutter
University of Freiburg
Cedric Archambeau
Amazon Web Services