Papers & talks

Low-rank interactions and sparse additive effects model for large data frames (to appear at NIPS 2018)
Geneviève Robin, Hoi To Wai, Julie Josse, Olga Klopp and Éric Moulines

Main effects and interactions in mixed and incomplete data frames  (2018, submitted)   
Geneviève Robin, Olga Klopp, Julie Josse, Éric Moulines and  Robert Tibshirani
[arxiv]

Imputation of mixed data with multilevel SVD (2018, in revision)
François Husson, Julie Josse, Balasubramanian Narasimhan and Geneviève Robin
[arxiv]

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

Low-rank model with covariates for count data analysis (2017, submitted)
Geneviève Robin, Julie Josse, Éric Moulines and Sylvain Sardy
[preprint]

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

Talks/posters:

Main effects and interactions in mixed and incomplete data frames
May 29. 2018 50èmes Journées de Statistique, EDF Lab Paris Saclay
[slides]

Multiple effects low-rank model with missing observations 
Mar 15. 2018 Stanford University, CA
[slides]

 Imputation of mixed data with multilevel singular value decomposition
Jan 11. 2018 Algorithmic Challenges in Protecting Privacy for Biomedical Data, UCLA, Los-Angeles, CA
[poster]

Low-rank interaction contingency tables
Jul 24. 2017 European Meeting of Statisticians, Helsinki
[slides]

Graphical model inference via latent tree aggregation
Jan 13. 2017 Imperial College, London
[slides]

Awards:

I was awarded a Visiting Student Researcher Fellowship from the France-Stanford Center for Interdisciplinary Studies to pursue a 4 months research project in Stanford University with Dr. Balasubramanian Narasimhan.