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Generalized Multi-Output Gaussian Process Censored Regression

Published in (Submitted), 2020

In this work, we show how (i) exploiting correlations between multiple signals (i.e. multi-output) and (ii) allow for input-dependent noise (i.e. heteroscedasticity) can fundamentally improve censored data estimation.

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