LF-PPL: A low-level first order probabilistic programming language for non-differentiable models
We develop a new Low-level, First-order Probabilistic Programming Language (LF-PPL) suited for models containing a mix of continuous, discrete, and/or piecewise-continuous variables. The key success of this language and its compilation scheme is in its ability to automatically distinguish parameters...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
ML Research Press
2019
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