An Introduction to Probabilistic Programming · HackerPapers discussions

An Introduction to Probabilistic Programming — HN submission

Mon, 23 Mar 2026 13:21:25 GMT

An Introduction to Probabilistic Programming (2018)

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

An Introduction to Probabilistic Programming — mentioned by nextos

Thu, 10 Aug 2023 18:56:52 GMT

I think the main outcome from Anglican was a great theoretical textbook: https://arxiv.org/abs/1809.10756 But it is probably too expressive, and therefore too slow, for most practical inference problems.

Paper and discussion history. A mention is not an endorsement.

An Introduction to Probabilistic Programming — mentioned by nextos

Tue, 08 Mar 2022 18:15:51 GMT

It's not outdated. Many ideas there, like mixture models or hierarchical models are pretty timeless mathematical concepts. A nice follow up is [1], which delves more into more technical inference aspects. There are also follow up texts by the same authors [2,3]. Another approach to further learning is to implement your own library. My favorite implementation is [4], which is both advanced and easy to understand. [1] https://arxiv.org/abs/1809.10756 [2] http://dippl.org/ [3] https://agentmodels.org/ [4] https://gen.dev/

Paper and discussion history. A mention is not an endorsement.

An Introduction to Probabilistic Programming — HN submission

Thu, 21 Oct 2021 06:42:07 GMT

An Introduction to Probabilistic Programming

209 points; 41 discussion replies on HN. Paper and source history. A submission is not an endorsement.

An Introduction to Probabilistic Programming — mentioned by dryrunes

Tue, 01 Dec 2020 18:07:54 GMT

I started [0], but I got sidetracked. If anyone else has used this let me know as well. [0] https://arxiv.org/abs/1809.10756

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An Introduction to Probabilistic Programming — mentioned by pinouchon

Fri, 28 Jun 2019 15:32:17 GMT

- A Personal Viewpoint on Probabilistic Programming https://www.youtube.com/watch?v=TFXcVlKqPlM by Dan Roy (I think this is the best intro to PP there is) - Probabilistic Models of Cognition https://probmods.org/ by Noah D. Goodman, Joshua B. Tenenbaum & contributors - An Introduction to Probabilistic Programming https://arxiv.org/abs/1809.10756 By Jan-Willem van de Meent, Brooks Paige, Hongseok Yang, Frank Wood

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An Introduction to Probabilistic Programming — mentioned by eli_gottlieb

Thu, 29 Nov 2018 20:58:15 GMT

> Since you mention Bayesian methods, I thought I may randomly ask you - have you come across any good work about applications of subjective Bayesian statistics in AI? https://www.youtube.com/watch?v=O0MF-r9PsvE https://arxiv.org/abs/1809.10756 (by my adviser) https://probprog.cc/ (chaired by my adviser, new)

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An Introduction to Probabilistic Programming — mentioned by credit_guy

Tue, 02 Oct 2018 11:11:52 GMT

Some people think the inequality has gone down significantly (I'm in that camp), but others point out to things like Bezos and a few others owning more assets than 80% of the world combined. Regardless, AI is bound to increase inequality. Just yesterday we discussed this book [1] on probabilistic programming here on HN [2]. That book is, by all definitions, an advanced book about AI. How many people without a PhD can read that? How many people with a PhD can read it? Well, guess what, people who can and do read this book earn more than people who don't. That's AI driving inequality. Before AI…

Paper and discussion history. A mention is not an endorsement.

An Introduction to Probabilistic Programming — HN submission

Mon, 01 Oct 2018 00:39:00 GMT

An Introduction to Probabilistic Programming

269 points; 14 discussion replies on HN. Paper and source history. A submission is not an endorsement.