Marie Szafranski

17 papers A* 3A 1B 1Misc 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Mixture of multilayer stochastic block models for multiview clustering. CoRR Kylliann De Santiago, Marie Szafranski, Christophe Ambroise
2023	—	`book`	Apprentissage machine pour l'intégration et l'interaction de données structurées. (: The adventures of struct ured {int* a_ctions} in Dataland). Marie Szafranski
2023	B	`conf`	Mixture of stochastic block models for multiview clustering. ESANN Kylliann De Santiago, Marie Szafranski, Christophe Ambroise
2020	J	`jnl`	Fast computation of genome-metagenome interaction effects. Algorithms Mol. Biol. Florent Guinot, Marie Szafranski, Julien Chiquet, Anouk Zancarini, Christine Le Signor, Christophe Mougel, Christophe Ambroise
2018	J	`jnl`	Fast Computation of Genome-Metagenome Interaction Effects. CoRR Florent Guinot, Marie Szafranski, Julien Chiquet, Anouk Zancarini, Christine Le Signor, Christophe Mougel, Christophe Ambroise
2018	J	`jnl`	Learning the optimal scale for GWAS through hierarchical SNP aggregation. BMC Bioinform. Florent Guinot, Marie Szafranski, Christophe Ambroise, Franck Samson
2016	J	`jnl`	Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels. J. Mach. Learn. Res. Céline Brouard, Marie Szafranski, Florence d'Alché-Buc
2014	Misc	`conf`	KEOPS: Kernels organized into pyramids. ICASSP Marie Szafranski, Yves Grandvalet
2011	A*	`conf`	Semi-supervised Penalized Output Kernel Regression for Link Prediction. ICML Céline Brouard, Florence d'Alché-Buc, Marie Szafranski
2010	J	`jnl`	Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes. J. Mach. Learn. Res. Liva Ralaivola, Marie Szafranski, Guillaume Stempfel
2010	J	`jnl`	Composite kernel learning. Mach. Learn. Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy
2009	A	`conf`	Chromatic PAC-Bayes Bounds for Non-IID Data. AISTATS Liva Ralaivola, Marie Szafranski, Guillaume Stempfel
2009	J	`jnl`	Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary \beta-Mixing Processes CoRR Liva Ralaivola, Marie Szafranski, Guillaume Stempfel
2009	A*	`conf`	Multiple indefinite kernel learning with mixed norm regularization. ICML Matthieu Kowalski, Marie Szafranski, Liva Ralaivola
2008	A*	`conf`	Composite kernel learning. ICML Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy
2008	—	`—`	Pénalités hiérarchiques pour l'intégration de connaissances dans les modèles statistiques. (Hierarchical penalties for integrating prior knowledge in statistical models). Marie Szafranski
2007	—	`conf`	Hierarchical Penalization. NIPS Marie Szafranski, Yves Grandvalet, Pierre Morizet-Mahoudeaux