~/talk

JoeWingbermuehle

Talkat StanCon 2018 · 2018-01-10..01-12· [machine-learning, developer-experience]
links:none on file
slides:none on file

A Scala DSL generates Stan code and runs it, claiming a type-safe Stan DSL that maps Scala data to Stan types, surfaces errors in the IDE, and exports models as plain Stan; practical tools include model and result caching and CSV/JSON import. Reparameterizing a Neal funnel shows many divergences before and far fewer after using a noncentered parameterization, and model composition and reusable transforms compile and run, though the project is early.

AI-written summary · about

  1. 0:00Scala Stan intro
  2. 1:27DSL design in Scala Stan
  3. 3:20Running models and handling results
  4. 4:29Fixing divergent transitions
  5. 5:52Composing models in Scala Stan
  6. 7:41Scala Stan features and limits
  7. 9:29Future directions for Scala Stan
  8. 10:38Q&A
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