no code implementations • 10 Mar 2019 • Astrid Dahl, Edwin V. Bonilla
We consider multi-task regression models where observations are assumed to be a linear combination of several latent node and weight functions, all drawn from Gaussian process (GP) priors that allow nonzero covariance between grouped latent functions.
no code implementations • 7 Jun 2018 • Astrid Dahl, Edwin V. Bonilla
We consider multi-task regression models where the observations are assumed to be a linear combination of several latent node functions and weight functions, which are both drawn from Gaussian process priors.