Frank Hutter

[Airicist]

Head of AutoML.org, research group on Automated Machine Learning

aad.informatik.uni-freiburg.de/people/hutter

twitter.com/frankrhutter

linkedin.com/in/frank-hutter-9190b24b

[Airicist]

Automatic Machine Learning - Prof. Frank Hutter

Published on Apr 25, 2018

Prof. Frank Hutter presented Automatic Machine Learning (AutoML) and How To Speed It Up at NIPS2017 on December 7th, 2017.

[Airicist]

Frank Hutter and Joaquin Vanschoren: Automatic Machine Learning (NeurIPS 2018 Tutorial)

Published on Dec 11, 2018

Abstract: The success of machine learning crucially relies on human machine learning experts, who construct appropriate features and workflows, and select appropriate machine learning paradigms, algorithms, neural architectures, and their hyperparameters. Automatic machine learning (AutoML) is an emerging research area that targets the progressive automation of machine learning, which uses machine learning and optimization to develop off-the-shelf machine learning methods that can be used easily and without expert knowledge. It covers a broad range of subfields, including hyperparameter optimization, neural architecture search, meta-learning, and transfer learning. This tutorial will cover the methods underlying the current state of the art in this fast-paced field.

Speakers: Frank Hutter and Joaquin Vanschoren