AutoML Seminar

Automated Machine Learning (short AutoML) progressively automates different parts of the machine learning workflow. There is a body of work that provides efficient methods to automatically optimize the hyperparameters, such as learning rates, regularization parameters, etc of machine learning methods. To go even one step further, recent work on neural architecture search designs more powerful and efficient neural network architectures in a data-driven way.

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

February 16th - Kartik Chandra and Audrey Xie: Gradient Descent: The Ultimate Optimizer

Join the Talks

Subscribe to our Google group to get all the updates about the seminars. All the information about new talks and how to connect are communicated there. Also follow us on Twitter and subscribe to our Youtube to not miss any talk.

Become a Speaker

If you want to become a speaker, please send an email to automl-seminars - at - googlegroups - dot - com or contact one of the organizers.

Organizers

The AutoML Seminar is organizes as part of the ELLIS units Berlin and Freiburg

Aaron Klein Amazon Web Services	Arber Zela University of Freiburg	Giovanni Zappella Amazon Web Services	Jovita Lukasik Max Planck Institute for Informatics	Rhea Sukthanker University of Freiburg	Frank Hutter University of Freiburg	Cedric Archambeau Amazon Web Services