Target–aware Bayesian inference: how to beat optimal conventional estimators
Standard approaches for Bayesian inference focus solely on approximating the posterior distribution. Typically, this approximation is, in turn, used to calculate expectations for one or more target functions—a computational pipeline that is inefficient when the target function(s) are know...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Journal of Machine Learning Research
2020
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