| Vol-1998 urn:nbn:de:0074-1998-0 Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# AutoML 2017
Automatic Machine Learning

### Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms
co-located with the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017)

### Skopje, Macedonia, September 22, 2017.

Edited by

### Pavel Brazdil *
Joaquin Vanschoren **
Frank Hutter ***
Holger Hoos ****

* University of Porto / INESC Tec, Porto, Portugal
** Eindhoven University of Technology, Eindhoven, The Netherlands
*** University of Freiburg, Freiburg, Germany
**** University of Leiden, Leiden, The Netherlands

## Table of Contents

### Preface

### Invited Talk Abstracts

- Stochastic Gradient Descent: Going as Fast as Possible but not Faster 1-1
  Michele Sebag

### Technical Papers

- Bayesian Optimization Combined with Incremental Evaluation for Neural Network Architecture Optimization 2-11
  Martin Wistuba
- Towards Automated Relational Data Wrangling 12-20
  Gust Verbruggen, Luc de Raedt
- autoBagging: Learning to Rank Bagging Workflows with Metalearning 21-27
  Fábio Pinto, Vitor Cerqueira, Carlos Soares, João Mendes-Moreira
- A Meta-Learning Approach to One-Step Active-Learning 28-40
  Gabriella Contardo, Ludovic Denoyer, Thierry Artieres
- Incremental Training of Deep Convolutional Neural Networks 41-48
  Roxana Istrate, Cristiano Malossi, Costas Bekas, Dimitrios Nikolopoulos
- Layered TPOT: Speeding up Tree-based Pipeline Optimization 49-68
  Pieter Gijsbers, Joaquin Vanschoren, Randal Olson
- Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods 69-83
  Miguel Cachada, Salisu Abdulrahman, Pavel Brazdil
- Effect of Metalearning on Feature Selection Employment 84-90
  Silvia Nunes Das Dôres, Carlos Soares, Duncan Ruiz
- An Empirical Study of Hyperparameter Importance Across Datasets 91-98
  Jan van Rijn, Frank Hutter

### Abstracts

- Meta-learning System for Automated Clustering 99-101
  Sergey Muravyov, Andrey Filchenkov
- NDSE: Instance Generation for Classification by Given Meta-Feature Description 102-104
  Alexey Zabashta, Andrey Filchenkov

2017-11-16: submitted by Pavel Brazdil, metadata incl. bibliographic data published under Creative Commons CC0
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