Papers & talks

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]

 

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:

Low-rank interactions and sparse additive effects model for large data frames (NIPS 2018)
[poster]

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.