Understanding Popl 26 Probabilistic Programming With Vectorized Programmable Inference
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Key Takeaways about Popl 26 Probabilistic Programming With Vectorized Programmable Inference
- Big-Stop Semantics: Small-Step Semantics in a Big-Step Judgment (Video,
- So in this talk I'm going to try to propose that we should consider a change to the conceptual model of
- The Relative Monadic Metalanguage (Video,
- Presented at SPLASH-I 2018
- https://pldi19.sigplan.org/details/pldi-2019-papers/45/Gen-A-General-Purpose-
Detailed Analysis of Popl 26 Probabilistic Programming With Vectorized Programmable Inference
Local Contextual Type Jules Jacobs (Radboud University Nijmegen) Paper: https://dl.acm.org/doi/pdf/10.1145/3434339 Abstract Probabilistic programming
When speaking about Bayesian statistics, we often hear about «
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