As discussed later, probabilistic programming offers an elegant way of generalizing graphical ... random forests or deep learning, the Automatic Statistician builds models that are composed ...

Probabilistic graphical models are a powerful technique for handling uncertainty in machine learning. The course will cover how probability distributions can be represented in graphical models, how ...

Among those technologists at the forefront of artificial intelligence (AI) — those developing its deep learning algorithms, probabilistic graphical models and layered neural networks — this is ...

This courses introduces causal inference methods, primarily using probabilistic graphical models, to identify and estimate counterfactual quantities as functions of observational data. We will discuss ...