Aude Sportisse

According to our database, Aude Sportisse authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models.

Irene Balelli, Aude Sportisse, Francesco Cremonesi, Pierre-Alexandre Mattei, Marco Lorenzi

CoRR, 2023

Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.

Aude Sportisse, Hugo Schmutz, Olivier Humbert, Charles Bouveyron, Pierre-Alexandre Mattei

Proceedings of the International Conference on Machine Learning, 2023

2022

R-miss-tastic: a unified platform for missing values methods and workflows.

Imke Mayer, Aude Sportisse, Julie Josse, Nicholas J. Tierney, Nathalie Vialaneix

R J., 2022

2021

Model-based Clustering with Missing Not At Random Data.

Aude Sportisse, Christophe Biernacki, Claire Boyer, Julie Josse, Matthieu Marbac Lourdelle, Gilles Celeux, Fabien Laporte

CoRR, 2021

2020

Imputation and low-rank estimation with Missing Not At Random data.

Aude Sportisse, Claire Boyer, Julie Josse

Stat. Comput., 2020

Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data.

Aude Sportisse, Claire Boyer, Julie Josse

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Debiasing Averaged Stochastic Gradient Descent to handle missing values.

Aude Sportisse, Claire Boyer, Aymeric Dieuleveut, Julie Josse

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Imputation and low-rank estimation with Missing Non At Random data.

Aude Sportisse, Claire Boyer, Julie Josse

CoRR, 2018