Probabilistic programming and meta-programming in Clojure

on YouTube ↗38m

" summary

MIT Probabilistic Computing Project presents Clojure-based tools that turn models into editable code: Metaprob is a lightweight probabilistic meta-language embedded in Clojure, BQL (Bayes Query Language) exposes an SQL-like simulate/inferring interface, and BayesDB/Gen connect models to databases and neural net components. Demonstrations include inverse-graphics face reconstruction and rotation, synthetic-biology virtual experiments whose simulated scatter plots match real data, and a curve-fitting example that infers polynomial degree and flags outliers — all implemented as traces over program executions and successfully used to bootstrap startups.

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" chapters (6)

1. 0:00Introduction and context
2. 21:29Emerging tech landscape
3. 22:59Probabilistic modeling
4. 28:20Inference and execution
5. 32:25Model refinement
6. 34:16Future work and hiring

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