Dupont, Pierre

13 publications

JMLR 2021 An Importance Weighted Feature Selection Stability Measure Victor Hamer, Pierre Dupont

ECML-PKDD 2021 Robust Selection Stability Estimation in Correlated Spaces Victor Hamer, Pierre Dupont

JMLR 2013 Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Pierre Dupont

NeurIPS 2011 Robust Multi-Class Gaussian Process Classification Daniel Hernández-lobato, Jose M. Hernández-lobato, Pierre Dupont

ECML-PKDD 2010 Expectation Propagation for Bayesian Multi-Task Feature Selection Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Thibault Helleputte, Pierre Dupont

ECML-PKDD 2009 Feature Selection by Transfer Learning with Linear Regularized Models Thibault Helleputte, Pierre Dupont

ICML 2009 Partially Supervised Feature Selection with Regularized Linear Models Thibault Helleputte, Pierre Dupont

ECML-PKDD 2008 Semi-Supervised Classification from Discriminative Random Walks Jérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont

ECML-PKDD 2006 Sequence Discrimination Using Phase-Type Distributions Jérôme Callut, Pierre Dupont

ECML-PKDD 2005 Inducing Hidden Markov Models to Model Long-Term Dependencies Jérôme Callut, Pierre Dupont

ECML-PKDD 2004 The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering Marco Saerens, François Fouss, Luh Yen, Pierre Dupont

ECML-PKDD 2002 Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains Christopher Kermorvant, Pierre Dupont

ICML 2000 Probabilistic DFA Inference Using Kullback-Leibler Divergence and Minimality Franck Thollard, Pierre Dupont, Colin de la Higuera