7th ICML Workshop on Automated Machine Learning (AutoML)
July 17th or 18th 2020
Collocated with the Thirty-seventh International Conference on Machine Learning (ICML)
Virtual workshop - see the ICML website for details.Picture from veronikasz on Pixabay, used under the Pixabay License
+++ We have extended the submission deadline to May 20th (Anywhere on earth) +++
Machine learning has achieved considerable successes in recent years, but this success often relies on human experts, who construct appropriate features, design learning architectures, set their hyperparameters, and develop new learning algorithms. Driven by the demand for off-the-shelf machine learning methods from an ever-growing community, the research area of AutoML targets the progressive automation of machine learning aiming to make effective methods available to everyone. Hence, the workshop targets a broad audience ranging from core machine learning researchers in different fields of ML connected to AutoML, such as neural architecture search, hyperparameter optimization, meta-learning, and learning to learn, to domain experts aiming to apply machine learning to new types of problems.
- Mihaela van der Schaar (John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge and Chancellor's Professor at UCLA)
- Alex Smola (Director, Amazon Web Services)
- Neil Lawrence (DeepMind Professor of Machine Learning at the University of Cambridge and visiting Professor at the University of Sheffield)
Remark on COVID-19
We are in contact with the ICML organizers about how the conference and workshops will be organized as ICML will be a virtual conference. We will inform you as soon as possible.
Call for Papers and Important Dates
Katharina Eggensperger, Matthias Feurer, Frank Hutter, Marius Lindauer, and Joaquin Vanschoren and Charles Weill