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...
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| Format: | Article |
| Language: | English |
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Morgan Kaufmann Publishers,
2021-01-11T15:55:21Z.
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| Online Access: | Get fulltext |