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An Introduction to Probabilistic Programming

arxiv.org Research & data Research papers AI & data Candidate
Screenshot of arxiv.org captured 2026-07-20
Page preview · captured 2026-07-20

Resurfaced independently across 3 calendar years, with breakout response in 2 of them.

submissions
3
submitters
3
observed span
2018–2026
peak thread · 41 comments
269 pts
latest 20+ return · 2021-10-21
209 pts

Submission timeline

2007–2026

One slot for every year since HN launched. Height is that year's peak points; orange marks a 100+ point or 50+ comment breakout. Select a bar to open its strongest thread.

First comments on top threads

HN comment order

I was introduced to probabilistic programming by Frank Wood and Brooks Paige at DARPA’s PPAML program, and they are excellent teachers. Highly recommend this resource! Anglican is a great language embedded in Clojure so this is particularly good for those on JVM

tbenst·269-point thread·

If you're interested in probabilistic programming and want something a little more hands-on, I recommend The Design and Implementation of Probabilistic Programming Languages http://dippl.org/ . It's an online course/textbook that gets you programming right away and makes the power of probabilistic programming immediately clear.

The first top-level comment from each of the four biggest threads, in HN’s own order. Excerpts are shortened; open a comment for full context.

Breakout years
2

100+ points or 50+ comments

Total points
480

reference only — not used in Hall rules or ranking

Total comments
55

reference only — not used in Hall rules or ranking

Every submission

DateTitle as submittedByPointsComments
2018-10-01An Introduction to Probabilistic ProgrammingFirst breakout · Best threadlainon26914
2021-10-21An Introduction to Probabilistic ProgrammingLatest 20+ point returnhomarp20941
2026-03-23An Introduction to Probabilistic Programming (2018)fagnerbrack20