Semantics for probabilistic programming, Dr Chris Heunen
Semantics for probabilistic programming, Dr Chris Heunen 03.10.17, 1pm, Room JCB 1.33B Abstract: Statistical models in e.g. machine learning are traditionally expressed in some sort of flow charts. Writing sophisticated models succintly is much easier in a fully fledged programming language. The programmer can then rely on generic inference algorithms instead of having to craft one for … Semantics for probabilistic programming, Dr Chris Heunen