The workshop Automatic Machine Learning is held at ICML conference in New York on June 24, 2016. This workshop is supported by the German Research Foundation through the Priority Programme Autonomous Learning. More information on the workshop’s website.
The success of machine learning in many domains crucially relies on human machine learning experts, who select appropriate features, workflows, machine learning paradigms, algorithms, and their hyperparameters. 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. For example, a recent instantiation of AutoML we’ll discuss is the ongoing ChaLearn AutoML challenge.