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From global to local MDI variable importances for random forests and when they are Shapley values


Nov 03, 2021
Antonio Sutera, Gilles Louppe, Van Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts

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* 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia 

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Gradient tree boosting with random output projections for multi-label classification and multi-output regression


May 18, 2019
Arnaud Joly, Louis Wehenkel, Pierre Geurts

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Unit Commitment using Nearest Neighbor as a Short-Term Proxy


Feb 28, 2018
Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel

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Random Subspace with Trees for Feature Selection Under Memory Constraints


Sep 06, 2017
Antonio Sutera, Célia Châtel, Gilles Louppe, Louis Wehenkel, Pierre Geurts

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Context-dependent feature analysis with random forests


May 12, 2016
Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts

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* Accepted for presentation at UAI 2016 

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Random forests with random projections of the output space for high dimensional multi-label classification


Sep 29, 2014
Arnaud Joly, Pierre Geurts, Louis Wehenkel

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* Machine Learning and Knowledge Discovery in Databases, 2014, Part I, pp 607-622 

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Classifying pairs with trees for supervised biological network inference


Apr 24, 2014
Marie Schrynemackers, Louis Wehenkel, M. Madan Babu, Pierre Geurts

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* 22 pages 

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On the Construction of the Inclusion Boundary Neighbourhood for Markov Equivalence Classes of Bayesian Network Structures


Dec 12, 2012
Vincent Auvray, Louis Wehenkel

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* Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002) 

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Optimized Look-Ahead Tree Policies: A Bridge Between Look-Ahead Tree Policies and Direct Policy Search


Aug 23, 2012
Tobias Jung, Louis Wehenkel, Damien Ernst, Francis Maes

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* In Submission 

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Meta-Learning of Exploration/Exploitation Strategies: The Multi-Armed Bandit Case


Jul 22, 2012
Francis Maes, Damien Ernst, Louis Wehenkel

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* 16 pages, Springer Selection of papers of ICAART'12 

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