Top-m identification for linear bandits. - Clémence Réda; Emilie Kaufmann; Andrée Delahaye-Duriez (AISTATS, 2021)

Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification. - Clémence Réda; Andrea Tirinzoni; Rémy Degenne (NeurIPS, 2021)

Prioritization of Candidate Genes Through Boolean Networks. - Clémence Réda; Andrée Delahaye-Duriez (CMSB, 2022)

Near-Optimal Collaborative Learning in Bandits. - Clémence Réda; Sattar Vakili; Emilie Kaufmann (NeurIPS, 2022)

Combination of gene regulatory networks and sequential machine learning for drug repurposing. (Combinaison de réseaux de régulation génique et d'apprentissage statistique séquentiel pour le repositionnement de médicaments). - Clémence Réda (2022)

An Anytime Algorithm for Good Arm Identification. - Marc Jourdan; Clémence Réda (CoRR, 2023)

NORDic: a Network-Oriented package for the Repurposing of Drugs. - Clémence Réda; Andrée Delahaye-Duriez (J. Open Source Softw., 2023)

Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data. - Rahul Bordoloi; Clémence Réda; Orell Trautmann; Saptarshi Bej; Olaf Wolkenhauer (CoRR, 2024)

stanscofi and benchscofi: a new standard for drug repurposing by collaborative filtering. - Clémence Réda; Jill-Jênn Vie; Olaf Wolkenhauer (J. Open Source Softw., 2024)

Fast Iterative and Task-Specific Imputation with Online Learning. - Rahul Bordoloi; Clémence Réda; Saptarshi Bej (CoRR, 2025)

Multivariate functional linear discriminant analysis for partially-observed time series. - Rahul Bordoloi; Clémence Réda; Orell Trautmann; Saptarshi Bej; Olaf Wolkenhauer (Mach. Learn., 2025)

Joint embedding-classifier learning for interpretable collaborative filtering. - Clémence Réda; Jill-Jênn Vie; Olaf Wolkenhauer (BMC Bioinform., 2025)