Faithful inversion of generative models for effective amortized inference
Inference amortization methods share information across multiple posteriorinference problems, allowing each to be carried out more efficiently. Generally, they require the inversion of the dependency structure in the generative model, as the modeller must learn a mapping from observations to distrib...
| 主要な著者: | , , , , , , |
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| フォーマット: | Conference item |
| 出版事項: |
Curran Associates
2019
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