Before revision:  Moreover, these imputation methods tend to initialize these missing valueswith strong prior assumptions, while the unreliability of such initialization is rarely considered. To tackle these problems, a novel semi-supervised conditional normalizing flow (SSCFlow) is proposed in this paper.
After revision:  Moreover, these imputation methods tend to initialize these missing valueswith strong prior assumptions, while the unreliability of such initialization might lead to inferior performance. To address these problems, a novel semi-supervised conditional normalizing flow (SSCFlow) is proposed in this paper.