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In this paper, we bridge the gap between hyperparameter optimization and ensemble learning by performing Bayesian optimization of an ensemble with regards to its hyperparameters.
“That Elusive Diversity in Classifier Ensembles”
Ludmila˜I. Kuncheva · 2003
Earlier work this paper cites.
“Ensemble Selection from Libraries of Models”
Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew and Alex Ksikes · 2004
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“Combining Pattern Classifiers: Methods and Algorithms”
Ludmila˜I. Kuncheva · 2004
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“Diversity in Search Strategies for Ensemble Feature Selection”
Alexey Tsymbal, Mykola Pechenizkiy and P“’adraig Cunningham · 2005
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“Gaussian Processes for Machine Learning”
Carl˜Edward Rasmussen and Christopher K.˜I. Williams · 2006
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“Lessons from the Netflix prize challenge”
Robert˜M. Bell and Yehuda Koren · 2007
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“Statistical Comparisons of Classifiers over Multiple Data Sets”
Janez Demsar · 2010
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“UCI Machine Learning Repository”, 2010
A. Frank and A. Asuncion · 2010
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“Sequential Model-Based Optimization for General Algorithm Configuration”
Frank Hutter, Holger˜H. Hoos and Kevin Leyton-Brown · 2011
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“Bagging Ensemble Selection”
Quan Sun and Bernhard Pfahringer · 2011
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“Random Search for Hyper-Parameter Optimization”
James Bergstra and Yoshua Bengio · 2012
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“Boosting: Foundations and Algorithms”
Robert˜E. Schapire and Yoav Freund · 2012
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“Practical Bayesian Optimization of Machine Learning Algorithms”
Jasper Snoek, Hugo Larochelle and Ryan˜P. Adams · 2012
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“Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a “ Null ” Model be?”
James Bergstra and David˜D. Cox · 2013
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“Agnostic Bayesian Learning of Ensembles”
Alexandre Lacoste, Hugo Larochelle, Mario Marchand and Francois Laviolette · 2014
Later among the works it cites.
“Sequential Model-Based Ensemble Optimization”
Alexandre Lacoste, Hugo Larochelle, Mario Marchand and Francois Laviolette · 2014
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“Freeze-Thaw Bayesian Optimization”
Kevin Swersky, Jasper Snoek and Ryan˜P. Adams · 2014
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“Efficient and Robust Automated Machine Learning”
Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost˜Tobias Springenberg, Manuel Blum and Frank Hutter · 2015
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“Initializing Bayesian Hyperparameter Optimization via Meta-Learning”
Matthias Feurer, Jost˜Tobias Springenberg and Frank Hutter · 2015
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“Design of the 2015 ChaLearn AutoML Challenge”
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“Diversity in Classifier Ensembles : Fertile Concept or Dead End ?”
Luca Didaci, Giorgio Fumera and Fabio Roli · 2013
Cited alongside, same era.
“Predictive Entropy Search for Efficient Global Optimization of Black-box Functions”
Jos“’e˜Miguel Hern“’andez-Lobato, Matthew˜W. Hoffman and Zoubin Ghahramani · 2014
Cited alongside, same era.
Isabelle Guyon, Kristin Bennett, Gavin Cawley, Hugo˜Jair Escalante, Sergio Escalera, Tin˜Kam Ho, N“’uria Maci“‘a, Bisakha Ray, Mehreen Saeed, Alexander Statnikov and Evelyne Viegas · 2015
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“Scalable Bayesian Optimization Using Deep Neural Networks”
Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa˜Ali Patwary, Prabhat and Ryan˜P. Adams · 2015
Later among the works it cites.