22 citations
- Precision Spine (United States)US3 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Université de MontpellierFR2 papers
- Biologie LaborCH1 paper
- CEA Paris-SaclayFR1 paper
- CELESTE: statistique mathématique et apprentissageFR1 paper
- Centre de Mathématiques Appliquées de l'École polytechniqueFR1 paper
- Centre de Recherche en Économie et StatistiqueFR1 paper
- Centre for Research and Information on Substance AbuseNG1 paper
- Centre Hospitalier Universitaire de MontpellierFR1 paper
- Centre Inria d'Université Côte d'AzurFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
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stat.ML2024★ 2 cited
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
Rémi Khellaf, Aurélien Bellet, Julie Josse
We study Federated Causal Inference, an approach to estimate treatment effects from decentralized data across centers. We compare three classes of Average Treatment Effect (ATE) es…
stat.ML2021★ 2 cited
Model-based Clustering with Missing Not At Random Data
Aude Sportisse, Matthieu Marbac, Fabien Laporte +4
Model-based unsupervised learning, as any learning task, stalls as soon as missing data occurs. This is even more true when the missing data are informative, or said missing not at…
stat.ML2021★ 22 cited
What's a good imputation to predict with missing values?
Marine Le Morvan, Julie Josse, Erwan Scornet +1
How to learn a good predictor on data with missing values? Most efforts focus on first imputing as well as possible and second learning on the completed data to predict the outcome…