Proceedings of the 2016 Workshop on Automatic Machine Learning, AutoML 2016, co-located with 33rd International Conference on Machine Learning (ICML 2016), New York City, NY, USA, June 24, 2016 - researchr publication

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Frank Hutter, Lars Kotthoff, Joaquin Vanschoren, editors, Proceedings of the 2016 Workshop on Automatic Machine Learning, AutoML 2016, co-located with 33rd International Conference on Machine Learning (ICML 2016), New York City, NY, USA, June 24, 2016. Volume 64 of JMLR Workshop and Conference Proceedings, JMLR.org, 2016. [doi]

Conference: icml2016

Abstract is missing.

Effect of Incomplete Meta-dataset on Average Ranking MethodSalisu Mamman Abdulrahman, Pavel Brazdil. 1-10 [doi]

A Strategy for Ranking Optimization Methods using Multiple CriteriaIan Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke. 11-20 [doi]

A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human InterventionIsabelle Guyon, Imad Chaabane, Hugo Jair Escalante, Sergio Escalera, Damir Jajetic, James Robert Lloyd, Núria Macià, Bisakha Ray, Lukasz Romaszko, Michèle Sebag, Alexander R. Statnikov, Sébastien Treguer, Evelyne Viegas. 21-30 [doi]

Scalable Structure Discovery in Regression using Gaussian ProcessesHyunjik Kim, Yee Whye Teh. 31-40 [doi]

Bayesian optimization for automated model selectionGustavo Malkomes, Chip Schaff, Roman Garnett. 41-47 [doi]

Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process IndustryManuel Martin Salvador, Marcin Budka, Bogdan Gabrys. 48-57 [doi]

Towards Automatically-Tuned Neural NetworksHector Mendoza, Aaron Klein, Matthias Feurer, Jost Tobias Springenberg, Frank Hutter. 58-65 [doi]

TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine LearningRandal S. Olson, Jason H. Moore. 66-74 [doi]

Parameter-Free Convex Learning through Coin BettingFrancesco Orabona, Dávid Pál. 75-82 [doi]

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