Leveraging variational autoencoders for multiple data imputation

Breeshey Roskams-Hieter, Jude Wells, Sara Wade

Missing data persists as a major barrier to data analysis across numerous applications. Recently, deep generative models have been used for imputation of missing data, motivated by…