Marie Szafranski

According to our database, Marie Szafranski authored at least 14 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mixture of multilayer stochastic block models for multiview clustering.

Kylliann De Santiago, Marie Szafranski, Christophe Ambroise

CoRR, 2024

2023

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

Marie Szafranski

, 2023

2020

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

2018

Learning the optimal scale for GWAS through hierarchical SNP aggregation.

Florent Guinot, Marie Szafranski, Christophe Ambroise, Franck Samson

BMC Bioinform., 2018

2016

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

2014

KEOPS: Kernels organized into pyramids.

Marie Szafranski, Yves Grandvalet

Proceedings of the IEEE International Conference on Acoustics, 2014

2011

Semi-supervised Penalized Output Kernel Regression for Link Prediction.

Céline Brouard, Florence d'Alché-Buc, Marie Szafranski

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Composite kernel learning.

Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy

Mach. Learn., 2010

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

2009

Chromatic PAC-Bayes Bounds for Non-IID Data.

Liva Ralaivola, Marie Szafranski, Guillaume Stempfel

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 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

Multiple indefinite kernel learning with mixed norm regularization.

Matthieu Kowalski, Marie Szafranski, Liva Ralaivola

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008

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

Marie Szafranski

PhD thesis, 2008

2007

Hierarchical Penalization.

Marie Szafranski, Yves Grandvalet, Pierre Morizet-Mahoudeaux

Proceedings of the Advances in Neural Information Processing Systems 20, 2007