Probabilistic logic programming is a programming paradigm that extends logic programming with probabilities. Most approaches to probabilistic logic programming are based on the distribution …

Sep 27, 2018 · We then introduce a first-order probabilistic programming language (PPL) whose programs correspond to graphical models with a known, finite, set of random variables. In the …

Jul 7, 2020 · The idea behind Probabilistic programming to bring the inference algorithms and theory from statistics combined with formal semantics, compilers, and other tools from …

Instead, probabilistic programming is a tool for statistical modeling. The idea is to borrow lessons from the world of programming languages and apply them to the problems of designing and …

Apr 11, 2022 · Probabilistic Programming Languages (PPLs) are languages where probabilistic models are first-class citizens. They make expressing probabilistic models easy.

In this chapter, you’ll learn how to make everyday decisions by using a probabilistic model and an inference algorithm—the two main components of a probabilistic reasoning system.

Apr 16, 2013 · Phase I — Probabilistic programming will transform the practice of data science by unifying anecdotal reasoning with more reliable statistical approaches. If data science is first …

In their simplest form, probabilistic programming languages extend a well-specified deterministic programming language with primitive constructs for random choice.

Nov 15, 2020 · We believe that the probabilistic programming language approach within AI has the potential to fundamentally change the way we understand, design, build, test and deploy …

Jul 12, 2023 · Both the game and your mental model have constructed a probabilistic model based on data. While it may feel intuitive, it is in fact similar to the laws of Newtonian physics …