gradientinstitute / aboleth

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

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Low-rank, joint imputation layers

dsteinberg opened this issue · comments

as a complement to the column-wise independent imputation layers we have now.

Conditioning on non-missing data will be potentially computationally complex and require a lot of linear algebra...

Let's leave this for now - it is a big undertaking, and I think the current imputation layers need a bit of updating