Tighter variational bounds are not necessarily better
We provide theoretical and empirical evidence that using tighter evidence lower bounds (ELBOs) can be detrimental to the process of learning an inference network by reducing the signal-to-noise ratio of the gradient estimator. Our results call into question common implicit assumptions that tighter E...
| Main Authors: | , , , , , , |
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| 格式: | Conference item |
| 语言: | English |
| 出版: |
Proceedings of Machine Learning Research
2018
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