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WigglyHypersurface t1_iw7qykq wrote

Reply to comment by Used-Routine-4461 in [D] When was the last time you wrote a custom neural net? by cautioushedonist

Search for MIWAE and notMIWAE to find the papers on the technique.

If your data is small and tabular than you can't really beat bayes. If your data is too big for bayes but just tabular than random forest imputation is pretty good. Or if you have specific hypotheses you know you will test you can do mice with SMCFCS.

The real utility of the (M)IWAE I think is when you have non-tabular data with missings. This is my use case. I have to impute a mixture of audio, string, and tabular data.

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