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JMLR Workshop and Conference Proceedings

Volume 64: Proceedings of the 2016 Workshop on Automatic Machine Learning

Editors: Frank Hutter, Lars Kotthoff, Joaquin Vanschoren

Contents:

Accepted Papers

Effect of Incomplete Meta-dataset on Average Ranking Method

Salisu Mamman Abdulrahman, Pavel Brazdil

A Strategy for Ranking Optimization Methods using Multiple Criteria

Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke

A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention

Isabelle Guyon, Imad Chaabane, Hugo Jair Escalante, Sergio Escalera, Damir Jajetic, James Robert Lloyd, Núria Macià, Bisakha Ray, Lukasz Romaszko, Michèle Sebag, Alexander Statnikov, Sébastien Treguer, Evelyne Viegas

Scalable Structure Discovery in Regression using Gaussian Processes

Hyunjik Kim, Yee Whye Teh

Bayesian optimization for automated model selection

Gustavo Malkomes, Chip Schaff, Roman Garnett

Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry

Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys

Towards Automatically-Tuned Neural Networks

Hector Mendoza, Aaron Klein, Matthias Feurer, Jost Tobias Springenberg, Frank Hutter

TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning

Randal S. Olson, Jason H. Moore

Parameter-Free Convex Learning through Coin Betting

Francesco Orabona, Dávid Pál