Invited & Accepted papers

Invited talk

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

Accepted papers

1. Martin Wistuba:

2. Bayesian Optimization Combined with Successive Halving for Neural Network Architecture Optimization

3. Gust Verbruggen and Luc De Raedt:

4. Towards Automated Relational Data Wrangling

5. Fábio Pinto, Vitor Cerqueira, Carlos Soares and João Mendes-Moreira:

6. autoBagging: Learning to Rank Bagging Workflows with Metalearning

7. Gabriella Contardo, Ludovic Denoyer and Thierry Artieres:

8. A Meta-Learning Approach to One-Step Active-Learning

9. Roxana Istrate, Cristiano Malossi, Costas Bekas and Dimitrios Nikolopoulos:

10. Incremental Training of Deep Convolutional Neural Networks

11. Pieter Gijsbers, Joaquin Vanschoren and Randal Olson:

12. Layered TPOT: Speeding up Tree-based Pipeline Optimization.

    1. Miguel Cachada, Salisu Abdulrahman and Pavel Brazdil:

    2. Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods

    3. Silvia Nunes Das Dôres, Carlos Soares and Duncan Ruiz:

    4. Effect of Metalearning on Feature Selection Employment

13. Jan N. van Rijn and Frank Hutter:

14. An Empirical Study of Hyperparameter Importance Across Datasets

Late-breaking papers

10. Sergey Muravyov and Andrey Filchenkov:

Meta-learning system for automated clustering

11. Alexey Zabashta and Andrey Filchenkov:

NDSE: Instance Generation for Classification by Given Meta-Feature Description

CEUR Proceedings can be accessed at:

http://ceur-ws.org/Vol-1998