An end-to-end distribution- and task-aware parallel imputation method for improving target task performance
Most machine-learning imputation techniques treat missing values independently of the downstream task, resulting in suboptimal predictive performance. While some recent methods jointly train an imputer with a target predictor, they fail to produce diverse and context-sensitive imputations and suffer from training ineff...