2 papers
stat.ML2019
Scalable Grouped Gaussian Processes via Direct Cholesky Functional Representations
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)…
stat.ML2018
Grouped Gaussian Processes for Solar Power Prediction
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 f…