AutoML: Methods, Systems, Challenges (new book)

Editors: Frank Hutter, Lars Kotthoff, Joaquin Vanschoren

We’re in the process of finishing this edited book, and it will be ready for sale by NIPS 2018. We’re looking to publish in the Springer Series on Challenges in Machine Learning, but will keep the book open access. We hope to be able to share preliminary versions of the chapters on this webpage. For now, here is the table of contents:

Part 1: AutoML Methods

This part comprises highly up-to-date overview chapters on the common foundations behind all AutoML systems.

Chapter 1: Hyperparameter Optimization. By Matthias Feurer and Frank Hutter

Chapter 2: Neural Architecture Search. By Thomas Elsken, Jan-Hendrik Metzen and Frank Hutter [complete draft, before revisions]

Chapter 3: Meta Learning. By Joaquin Vanschoren

Part 2: AutoML Systems

This part comprises in-depth descriptions of a broad range of available AutoML systems that can be used for effective machine learning out of the box.

Chapter 4: Auto-WEKA. By Lars Kotthoff and Chris Thornton and Holger H. Hoos and Frank Hutter and Kevin Leyton-Brown [complete draft, before revisions]

Chapter 5: Hyperopt-Sklearn. By Brent Komer and James Bergstra and Chris Eliasmith [complete draft, before revisions]

Chapter 6: Auto-sklearn: Efficient and Robust Automated Machine Learning. By Matthias Feurer and Aaron Klein and Katharina Eggensperger and Jost Tobias Springenberg and Manuel Blum and Frank Hutter

Chapter 7: Auto-Net: Towards Automatically-Tuned Neural Networks. By Hector Mendoza and Aaron Klein and Matthias Feurer and Jost Tobias Springenberg and Frank Hutter

Chapter 8: TPOT: A Tool for Automating Machine Learning. By Randal S. Olson and Jason H. Moore [complete draft, before revisions]

Chapter 9: The Automatic Statistician. By Christian Steinruecken and Emma Smith and David Janz and James Lloyd and Zoubin Ghahramani [complete draft, before revisions]

Part 3: AutoML Challenges

This part provides an in-depth analysis of all AutoML challenges held to date.

Chapter 10: Analysis of the AutoML Challenge series 2015-2018. By Isabelle Guyon and Lisheng Sun-Hosoya and Marc Boull ́e and Hugo Jair Escalante and Sergio Escalera and Zhengying Liu and Damir Jajetic and Bisakha Ray and Mehreen Saeed and Michele Sebag and Alexander Statnikov and Wei-Wei Tu and Evelyne Viegas [complete draft, before revisions]