Papers

Low-rank methods for multi-source, heterogeneous and incomplete data (PhD dissertation)
[web] [pdf] [slides of the defense]

Low-rank model with covariates for count data with missing values (2019, Journal of Multivariate Analysis)
Geneviève Robin, Julie Josse, Éric Moulines and Sylvain Sardy
[arxiv][journal]

Main effects and interactions in mixed and incomplete data frames  (2019, Journal of American Statistical Association)   
Geneviève Robin, Olga Klopp, Julie Josse, Éric Moulines and  Robert Tibshirani
[arxiv] [citation]

Imputation of mixed data with multilevel Singular Value Decomposition (2019, Journal of Computational and Graphical Statistics)
François Husson, Julie Josse, Balasubramanian Narasimhan and Geneviève Robin
[arxiv] [journal]

Low-rank interactions and sparse additive effects model for large data frames (NeurIPS 2018)
Geneviève Robin, Hoi To Wai, Julie Josse, Olga Klopp and Éric Moulines [pdf] [citation]

Incomplete graphical model inference via latent tree aggregation (2018, Statistical Modelling)
Geneviève Robin, Christophe Ambroise and Stéphane Robin
[arxiv] [journal]

 Inference of sparse Graphical Models with unobserved variables (2016, MSc thesis)
[pdf]