The Design and Implementation of Probabilistic Programming Languages
by Noah D. Goodman, Andreas Stuhlmüller
Publisher: dippl.org 2016
Number of pages: 215
Description:
This book explains how to implement PPLs by lightweight embedding into a host language. We illustrate this by designing and implementing WebPPL, a small PPL embedded in Javascript. We show how to implement several algorithms for universal probabilistic inference, including priority-based enumeration with caching, particle filtering, and Markov chain Monte Carlo.
Download or read it online for free here:
Read online
(online html)
Similar books
Exploring Programming Language Architecture in Perlby Bill Hails
This book presents an informal and friendly introduction to some of the core ideas in modern computer science, using the programming language Perl as its vehicle. The book takes the form of a series of working interpreters for the language PScheme.
(19280 views)
Comparative Studies of Programming Languagesby Joey Paquet, Serguei A. Mokhov - arXiv
Lecture notes for the Comparative Studies of Programming Languages course. These notes include a compiled book of primarily related articles from the Wikipedia, as well as Comparative Programming Languages book and other resources.
(12772 views)
Proofs and Typesby J. Girard, Y. Lafont, P. Taylor - Cambridge University Press
This little book comes from a short graduate course on typed lambda-calculus given at the Universite Paris. It is not intended to be encyclopedic and the selection of topics was really quite haphazard. Some very basic knowledge of logic is needed.
(21535 views)
Programming and Programming Languagesby Shriram Krishnamurthi - Brown University
Many people would regard this as being two books in one. One book is an introduction to programming, teaching you basic concepts of organizing data and the programs that operate over them. The other book is an introduction to programming languages.
(10833 views)