60 citations · 73 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 13 cited
Linear predictor on linearly-generated data with missing values: non consistency and solutions
Marine Le Morvan, Nicolas Prost, Julie Josse +2
We consider building predictors when the data have missing values. We study the seemingly-simple case where the target to predict is a linear function of the fully-observed data an…
stat.ML2019★ 60 cited
On the consistency of supervised learning with missing values
Julie Josse, Jacob M. Chen, Nicolas Prost +2
In many application settings, the data have missing entries which make analysis challenging. An abundant literature addresses missing values in an inferential framework: estimating…