Liste des publications

Rémi Gribonval, Pierre Machart, Reconciling "priors" & "priors" without prejudice?, Neural Information Processing Systems (NIPS) 2013 (spotlight talk)

Pierre Machart, Coping with the Computational and Statistical Bipolar Nature of Machine Learning, PhD thesis (defended on the 21/12/12)

Pierre Machart, Sandrine Anthoine, Luca Baldassarre, Optimal Computational Trade-Off of Inexact Proximal Methods (short version), Multi-Trade-offs in Machine Learning (NIPS 2012 workshop, contributed talk) and SPARS 2013 workshop

Pierre Machart, Sandrine Anthoine, Luca Baldassarre, Optimal Computational Trade-Off of Inexact Proximal Methods, research report (submitted)

Pierre Machart, Liva Ralaivola, Confusion Matrix Stability Bounds for Multiclass Classification, research report (submitted)

Pierre Machart, Thomas Peel, Sandrine Anthoine, Liva Ralaivola, Hervé Glotin, Apprentissage Stochastique de Noyau de Rang Faible pour la Régression, Conférence Francophone d'Apprentissage (CAp) 2011

Pierre Machart, Thomas Peel, Sandrine Anthoine, Liva Ralaivola, Hervé Glotin, Stochastic Low-Rank Kernel Learning for Regression, International Conference on Machine Learning (ICML) 2011