Effect of Incomplete Meta-dataset on Average Ranking Method

Salisu Mamman Abdulrahman, Pavel Brazdil; Proceedings of the Workshop on Automatic Machine Learning, PMLR 64:1-10

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A Strategy for Ranking Optimization Methods using Multiple Criteria

Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke; Proceedings of the Workshop on Automatic Machine Learning, PMLR 64:11-20

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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; Proceedings of the Workshop on Automatic Machine Learning, PMLR 64:21-30

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Scalable Structure Discovery in Regression using Gaussian Processes

Hyunjik Kim, Yee Whye Teh; Proceedings of the Workshop on Automatic Machine Learning, PMLR 64:31-40

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Bayesian optimization for automated model selection

Gustavo Malkomes, Chip Schaff, Roman Garnett; Proceedings of the Workshop on Automatic Machine Learning, PMLR 64:41-47

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

Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys; Proceedings of the Workshop on Automatic Machine Learning, PMLR 64:48-57

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Towards Automatically-Tuned Neural Networks

Hector Mendoza, Aaron Klein, Matthias Feurer, Jost Tobias Springenberg, Frank Hutter; Proceedings of the Workshop on Automatic Machine Learning, PMLR 64:58-65

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

Randal S. Olson, Jason H. Moore; Proceedings of the Workshop on Automatic Machine Learning, PMLR 64:66-74

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Parameter-Free Convex Learning through Coin Betting

Francesco Orabona, Dávid Pál; Proceedings of the Workshop on Automatic Machine Learning, PMLR 64:75-82

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