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Random features models: a way to study the success of naive imputation
Constant (naive) imputation is still widely used in practice as this is a first easy-to-use technique to deal with missing data.
Minimax rate of consistency for linear models with missing values
Missing values arise in most real-world data sets due to the aggregation of multiple sources and intrinsically missing information (sensor failure, unanswered questions in surveys...).
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