Implicit posterior variational inference for deep Gaussian processes
A multi-layer deep Gaussian process (DGP) model is a hierarchical composition of GP models with a greater expressive power. Exact DGP inference is intractable, which has motivated the recent development of deterministic and stochastic approximation methods. Unfortunately, the deterministic approxima...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Morgan Kaufmann Publishers
2021
|
| Online Access: | https://hdl.handle.net/1721.1/129355 |