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04/17/2023
Fed-MIWAE: Federated Imputation of Incomplete Data via Deep Generative Models
Federated learning allows for the training of machine learning models on...
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02/15/2023
Are labels informative in semi-supervised learning? – Estimating and leveraging the missing-data mechanism
Semi-supervised learning is a powerful technique for leveraging unlabele...
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12/20/2021
Model-based Clustering with Missing Not At Random Data
In recent decades, technological advances have made it possible to colle...
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05/12/2020
Robust Lasso-Zero for sparse corruption and model selection with missing covariates
We propose Robust Lasso-Zero, an extension of the Lasso-Zero methodology...
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02/21/2020
Debiasing Stochastic Gradient Descent to handle missing values
A major caveat of large scale data is their incom-pleteness. We propose ...
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06/06/2019
Estimation and imputation in Probabilistic Principal Component Analysis with Missing Not At Random data
Missing Not At Random values are considered to be non-ignorable and requ...
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06/06/2019
Estimation with informative missing data in the low-rank model with random effects
Matrix completion based on low-rank models is very popular and comes wit...
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12/29/2018