Guaranteed inference for probabilistic programs: a parallelisable, small-step operational approach
In the context of probabilistic programming languages, we put forward an approach to formal semantics and sampling-based inference with guarantees, centered on an action-based language equipped with a small-step operational semantics. We argue that this choice offers benefits in terms of clarity and...
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| Published in: | ACM transactions on probabilistic machine learning |
|---|---|
| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
30.09.2025
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| ISSN: | 2836-8924, 2836-8924 |
| Online Access: | Get full text |
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