AutoML 2016 workshop
June 24, 2016
Collocated with ICML, New York City, USA
Location: Marriott hotel, Empire [7th floor]

What is AutoML?
Machine learning is very successful, but its successes crucially rely on human machine learning experts, who select appropriate ML architectures (deep learning architectures or more traditional ML workflows)
and their hyperparameters. As the complexity of these tasks is often beyond non-experts, the rapid growth of machine learning applications has created a demand for off-the-shelf machine learning methods that can be used easily and without expert knowledge. We call the resulting research area that targets progressive automation of machine learning AutoML.

Please see the call for papers for areas of particular relevance to the workshop.

Invited speakers
  • Ryan Adams
  • Nando de Freitas
  • Kate Smith-Miles
  • Michele Sebag


Co-chairs: Frank Hutter, Lars Kotthoff, Joaquin Vanschoren
Organizing committee: Pavel Brazdil, Rich Caruana, Christophe Giraud-Carrier, Isabelle Guyon, Balazs Kegl


We gratefully acknowledge support by the Priority Programme Autonomous Learning of the German Research Foundation (DFG) and ChaLearn.

Souvenir pictures