Website of the PhD course on Foundations of Probabilistic Programming at IT University of Copenhagen, Spring 2023. The course is organized as a reading group. Each week we discuss different topics and ...

Generative models of tabular data are key in Bayesian analysis, probabilistic machine learning, and fields like econometrics, healthcare, and systems biology. Researchers have developed methods to ...

Probabilistic models can be represented using programs that make stochastic choices. Operations on models such as learning and inference can be represented as meta-programs that find probable ...

Researchers can demonstrate that on some standard computer-vision tasks, short programs -- less than 50 lines long -- written in a probabilistic programming language are competitive with conventional ...

When you’re programming an artificial intelligence application, you’re usually building statistical models that output discrete values. Is that image a human face? Whose face is it? Is that face ...

Abstract: Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertain information by means of probability theory. Probabilistic Logic Programming is at the ...