e8a642ed6a9ad20fb159472950db3d65-Supplemental.pdf

Methods for handling missing data has been extensively studied in the past few decades. Those methods can be roughly classified into two categories: complete case analysis (CCA) based, and imputationbasedmethods. CCAbasedmethods,suchaslistwisedeletion[1]andpairwisedeletion [31] focuses on deleting data instances that contains missing entries, and keeping those that are complete. Standardtechniquesof single imputation include mean/zero imputation, regression-based imputation [1], no-parametric methods [15,54]. For the factorized priorp(Z|U) of the i-VAE component of GINA, we used 15 a linear network with one auxiliary input (which is set to be fully observed dimension,X1).