Wehenkel, Louis

18 publications

NeurIPS 2021 From Global to Local MDI Variable Importances for Random Forests and When They Are Shapley Values Antonio Sutera, Gilles Louppe, Van Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts

AISTATS 2018 Random Subspace with Trees for Feature Selection Under Memory Constraints Antonio Sutera, Célia Châtel, Gilles Louppe, Louis Wehenkel, Pierre Geurts

UAI 2016 Context-Dependent Feature Analysis with Random Forests Antonio Sutera, Gilles Louppe, Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts

ECML-PKDD 2014 Random Forests with Random Projections of the Output Space for High Dimensional Multi-Label Classification Arnaud Joly, Pierre Geurts, Louis Wehenkel

NeurIPS 2013 Understanding Variable Importances in Forests of Randomized Trees Gilles Louppe, Louis Wehenkel, Antonio Sutera, Pierre Geurts

ECML-PKDD 2012 Embedding Monte Carlo Search of Features in Tree-Based Ensemble Methods Francis Maes, Pierre Geurts, Louis Wehenkel

ECML-PKDD 2011 Efficiently Approximating Markov Tree Bagging for High-Dimensional Density Estimation François Schnitzler, Sourour Ammar, Philippe Leray, Pierre Geurts, Louis Wehenkel

AISTATS 2010 Model-Free Monte Carlo-like Policy Evaluation Raphael Fonteneau, Susan Murphy, Louis Wehenkel, Damien Ernst

UAI 2008 Learning Inclusion-Optimal Chordal Graphs Vincent Auvray, Louis Wehenkel

ICML 2007 Gradient Boosting for Kernelized Output Spaces Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc

MLJ 2006 Extremely Randomized Trees Pierre Geurts, Damien Ernst, Louis Wehenkel

ICML 2006 Kernelizing the Output of Tree-Based Methods Pierre Geurts, Louis Wehenkel, Florence d'Alché-Buc

ICML 2005 Closed-Form Dual Perturb and Combine for Tree-Based Models Pierre Geurts, Louis Wehenkel

CVPR 2005 Random Subwindows for Robust Image Classification Raphaël Marée, Pierre Geurts, Justus H. Piater, Louis Wehenkel

JMLR 2005 Tree-Based Batch Mode Reinforcement Learning Damien Ernst, Pierre Geurts, Louis Wehenkel

ECML-PKDD 2003 Iteratively Extending Time Horizon Reinforcement Learning Damien Ernst, Pierre Geurts, Louis Wehenkel

UAI 2002 On the Construction of the Inclusion Boundary Neighbourhood for Markov Equivalence Classes of Bayesian Network Structures Vincent Auvray, Louis Wehenkel

ECML-PKDD 2000 Investigation and Reduction of Discretization Variance in Decision Tree Induction Pierre Geurts, Louis Wehenkel