Sequential Model-Based Ensemble Optimization

Support vector regression machines

Harris Drucker, Chris JC Burges, Linda Kaufman, Alex Smola, and Vladimir Vapnik · 1997

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Random forests

L. Breiman · 2001

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Greedy function approximation: a gradient boosting machine

Jerome H Friedman · 2001

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Ensemble pruning via semi-definite programming

Yi Zhang, Samuel Burer, and W Nick Street · 2006

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Extremely randomized trees

Pierre Geurts, Damien Ernst, and Louis Wehenkel · 2006

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Statistical comparisons of classifiers over multiple data sets

Janez Demšar · 2006

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The bellkor solution to the netflix prize

Robert M Bell, Yehuda Koren, and Chris Volinsky · 2007

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Incremental construction of classifier and discriminant ensembles

Original

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Algorithms for hyper-parameter optimization

James Bergstra, Rémi Bardenet, Yoshua Bengio, and Balázs Kégl · 2011

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Sequential model-based optimization for general algorithm configuration

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From pac-bayes bounds to quadratic programs for majority votes

F. Laviolette, M. Marchand, and J.F. Roy · 2011

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Practical bayesian optimization of machine learning algorithms

Jasper Snoek, Hugo Larochelle, and Ryan P. Adams · 2012

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Random search for hyper-parameter optimization

James Bergstra and Yoshua Bengio · 2012

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Bayesian classifier combination

Hyun-Chul Kim and Zoubin Ghahramani · 2012

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Bayesian comparison of machine learning algorithms on single and multiple datasets

Alexandre Lacoste, François Laviolette, and Mario Marchand · 2012

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Agnostic bayesian learning of ensembles

Alexandre Lacoste, Mario Marchand, François Laviolette, and Hugo Larochelle · 2014

Closest in time.