research
∙
02/25/2022
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
Multi-task Gaussian process (MTGP) is a well-known non-parametric Bayesi...
share
research
∙
09/20/2021
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization
Multi-task regression attempts to exploit the task similarity in order t...
research
∙
06/03/2021
Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems
The demand of probabilistic time series forecasting has been recently ra...
research
∙
08/29/2020
Modulating Scalable Gaussian Processes for Expressive Statistical Learning
For a learning task, Gaussian process (GP) is interested in learning the...
research
∙
05/18/2020
