Skip to content
#

stochastics

Here are 15 public repositories matching this topic...

Gaussian processes (GPs) are a good choice for function approximation as they are flexible, robust to over-fitting, and provide well-calibrated predictive uncertainty. Deep Gaussian processes (DGPs) are multi-layer generalisations of GPs, but inference in these models has proved challenging. Existing approaches to inference in DGP models assume …

  • Updated Jul 20, 2020
  • Python

Add this topic to your repo

To associate your repository with the stochastics topic, visit your repo's landing page and select "manage topics."

Learn more