2 05 Practical Probabilistic Programming

2 05 Practical Probabilistic Programming Information Guide

1. Introduction to 2 05 Practical Probabilistic Programming
2. Main Features
3. History
4. Deep Dive
5. Future Outlook

Introduction to 2 05 Practical Probabilistic Programming

So today I'd like to tell you about one particular way of doing Presented at the joint PPS-PIHOC-DIAPASoN Workshop 2021. Advances in inference algorithms and probability theory have spurred recent interest in We talked about: 00:00 DataTalks.Club intro 02:46 Rob's background 06:40 Going from software engineering to Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Martin Jankowiak (Uber AI Labs) ... The talk aims at introducing Lea, an open-source Python library dedicated to probabilities and

Little time so here's the hidden markov model written in a This video is a continuation of the previous video, Episode [08x10]. In this video, get a high-level overview of the theory, concepts ...

Main Features

History

Typed functional probabilistic programming: ready for practical use?

Avi Pfeffer - Practical Probabilistic Programming with Figaro - MLconf SEA 2016

Bayesian Modeling and Probabilistic Programming - Rob Zinkov

Paradigms of Probabilistic Programming

Martin Jankowiak - Brief Introduction to Probabilistic Programming

Probabilistic programming with Lea, Pierre Denis

Probabilistic Programming: Generative Probabilistic Graphics Programming and New Research Directions

A New Approach to Probabilistic Programming Inference -- Frank Wood

[08x11] What is Probabilistic Programming?

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: June 12, 2026

Future Outlook

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.