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It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
Multi-task prediction models are widely being used to couple regressors or classification models by sharing information across related tasks.
Probabilistic latent variable models for distinguishing between cause and effect
To this end, we consider the hypothetical effect variable to be a function of the hypothetical cause variable and an independent noise term (not necessarily additive).
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