Variational Autoencoder Paper
%20when%20the%20training%20data%20is%20incomplete.%20We%20show%20that%20missing%20data%20increases%20the%20complexity%20of%20the%20model's%20posterior%20distribution%20over%20the%20latent%20variables%20compared%20to%20the%20fully-observed%20case.%20The%20increased%20complexity%20may%20adversely%20affect%20the%20fit%20of%20the%20model%20due%20to%20a%20mismatch%20between%20the%20variational%20and%20model%20posterior%20distributions.%20We%20introduce%20two%20strategies%20based%20on%20(i)%20finite%20variational-mixture%20and%20(ii)%20imputation-based%20variational-mixture%20distributions%20to%20address%20the%20increased%20posterior%20complexity.%20Through%20a%20comprehensive%20evaluation%20of%20the%20proposed%20approaches%2C%20we%20show%20that%20variational%20mixtures%20are%20effective%20at%20improving%20the%20accuracy%20of%20VAE%20estimation%20from%20incomplete%20data.)
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