6th ICML Workshop on Automated Machine Learning

June 14th or 15th (TBD) 2019

Collocated with the Thirty-sixth International Conference on Machine Learning (ICML)

In Long Beach, California, USA



Photo by Ronnie Pitman available under CC BY-NC 2.0

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. 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.

Confirmed Speakers

  • Rachel Thomas
  • Raquel Urtasun
  • Charles Sutton

Organization

Katharina Eggensperger, Matthias Feurer, Frank Hutter, and Joaquin Vanschoren