The State of the Art for Probabilistic Programming

Probabilistic Programming as a field is moving at breakneck speed, with innovations being driven on all levels: language, algorithms, compilers, computation, hardware. In this expert briefing I will give a brief overview of where the field is today and where it is headed. One big trend is what I call The Great Decoupling: rather than monolithic PPL systems, we are seeing how various layers of abstraction are introduced and separated. This allows more interoperability, as well as innovation to occur at every level of the stack. Finally, I will talk about a convergence of Bayesian modeling and Causal Inference to a new paradigm called Bayesian Causal Inference. PUBLICATION PERMISSIONS: PyData provided Coding Tech with their permission to republish PyData talks on Coding Tech channel. CREDITS: PyData YouTube channel: @PyDataTV