TECoSA Research Seminar: Efficient Monte Carlo Inference for Probabilistic Programming Languages
Speaker: Daniel Lundén, TECoSA postdoc Location: Gustaf Dahlander (floor 3, Teknikringen 31, KTH Campus) Zoom link and sign-up link circulated to members Please email vickid@kth.se if you have any questions. ABSTRACT: Probabilistic programming languages (PPLs) allow users to express statistical inference problems that the PPL implementation then, ideally, solves automatically. In particular, PPL users can focus… Read More »TECoSA Research Seminar: Efficient Monte Carlo Inference for Probabilistic Programming Languages