Foundations of Probabilistic Programming
Gilles Barthe, Joost-Pieter Katoen, Alexandra Silva
What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide covers such elementary questions and more. It provides a state-of-the-art overview of the theoretical underpinnings of modern probabilistic programming and their applications in machine learning, security, and other domains, at a level suitable for graduate students and non-experts in the field. In addition, the book treats the connection between probabilistic programs and mathematical logic, security (what is the probability that software leaks confidential information?), and presents three programming languages for different applications: Excel tables, program testing, and approximate computing. This title is also available as Open Access on Cambridge Core.
श्रेणियाँ:
साल:
2021
प्रकाशन:
Cambridge University Press
भाषा:
english
पृष्ठ:
582
ISBN 10:
110848851X
ISBN 13:
9781108488518
फ़ाइल:
PDF, 4.12 MB
IPFS:
,
english, 2021
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