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Datasets with missing values are very common on industry applications, and they can have a negative impact on machine learning models.
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The rise of multiple imputation: a review of the reporting and implementation of the method in medical research
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Categorical Reparameterization with Gumbel-Softmax
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Adversarially Regularized Autoencoders
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Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
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Generating multi-categorical samples with generative adversarial networks
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Airline passenger name record generation using generative adversarial networks
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Handling incomplete heterogeneous data using vaes
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Synthesizing tabular data using generative adversarial networks
Xu, L. and Veeramachaneni, K · 2018
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Gain: Missing data imputation using generative adversarial nets
Yoon, J., Jordon, J., and van der Schaar, M · 2018
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