Hierarchical Penalization. - Marie Szafranski; Yves Grandvalet; Pierre Morizet-Mahoudeaux (NIPS, 2007)

Pénalités hiérarchiques pour l'intégration de connaissances dans les modèles statistiques. (Hierarchical penalties for integrating prior knowledge in statistical models). - Marie Szafranski (2008)

Multiple indefinite kernel learning with mixed norm regularization. - Matthieu Kowalski; Marie Szafranski; Liva Ralaivola (ICML, 2009)

Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary beta-Mixing Processes - Liva Ralaivola; Marie Szafranski; Guillaume Stempfel (CoRR, 2009)

Chromatic PAC-Bayes Bounds for Non-IID Data. - Liva Ralaivola; Marie Szafranski; Guillaume Stempfel (AISTATS, 2009)

Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes. - Liva Ralaivola; Marie Szafranski; Guillaume Stempfel (J. Mach. Learn. Res., 2010)

Composite kernel learning. - Marie Szafranski; Yves Grandvalet; Alain Rakotomamonjy (Mach. Learn., 2010)

Semi-supervised Penalized Output Kernel Regression for Link Prediction. - Céline Brouard; Florence d'Alché-Buc; Marie Szafranski (ICML, 2011)

KEOPS: Kernels organized into pyramids. - Marie Szafranski; Yves Grandvalet (ICASSP, 2014)

Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels. - Céline Brouard; Marie Szafranski; Florence d'Alché-Buc (J. Mach. Learn. Res., 2016)

Learning the optimal scale for GWAS through hierarchical SNP aggregation. - Florent Guinot; Marie Szafranski; Christophe Ambroise; Franck Samson (BMC Bioinform., 2018)

Fast computation of genome-metagenome interaction effects. - Florent Guinot; Marie Szafranski; Julien Chiquet; Anouk Zancarini; Christine Le Signor; Christophe Mougel; Christophe Ambroise (Algorithms Mol. Biol., 2020)

Apprentissage machine pour l'intégration et l'interaction de données structurées. (: The adventures of struct ured {int* a_ctions} in Dataland). - Marie Szafranski (2023)

Mixture of stochastic block models for multiview clustering. - Kylliann De Santiago; Marie Szafranski; Christophe Ambroise (ESANN, 2023)

Mixture of multilayer stochastic block models for multiview clustering. - Kylliann De Santiago; Marie Szafranski; Christophe Ambroise (CoRR, 2024)