Understanding approximation for Bayesian inference in neural networks
Bayesian inference has theoretical attractions as a principled framework for reasoning about beliefs. However, the motivations of Bayesian inference which claim it to be the only "rational" kind of reasoning do not apply in practice. They create a binary split in which all approximate infe...
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| Format: | Thesis |
| Language: | English |
| Published: |
2022
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