Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective

no code implementations • 18 Sep 2023 • Laixin Xie, Yang Ouyang, Longfei Chen, Ziming Wu, Quan Li

These approaches rely on the observed data to estimate the missing values and therefore encounter three main shortcomings in imputation, including the need for different imputation methods for various missing data mechanisms, heavy dependence on the assumption of data distribution, and potential introduction of bias.

Contrastive Learning Imputation