An Introduction to Lifted Probabilistic Inference

From Neural Information Processing series

An Introduction to Lifted Probabilistic Inference

Edited by Guy Van den Broeck, Kristian Kersting and Sriraam Natarajan

By David Poole

Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models.

Overview

Author(s)

Praise

Summary

Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models.

Statistical relational AI (StaRAI) studies the integration of reasoning under uncertainty with reasoning about individuals and relations. The representations used are often called relational probabilistic models. Lifted inference is about how to exploit the structure inherent in relational probabilistic models, either in the way they are expressed or by extracting structure from observations. This book covers recent significant advances in the area of lifted inference, providing a unifying introduction to this very active field.

After providing necessary background on probabilistic graphical models, relational probabilistic models, and learning inside these models, the book turns to lifted inference, first covering exact inference and then approximate inference. In addition, the book considers the theory of liftability and acting in relational domains, which allows the connection of learning and reasoning in relational domains.

Contributors

Babak Ahmadi, Hendrik Blockeel, Hung Bui, Yuqiao Chen, Arthur Choi, Jaesik Choi, Adnan Darwiche, Jesse Davis, Rodrigo de Salvo Braz, Pedro Domingos, Daan Fierens, Martin Grohe, Fabian Hadiji, Seyed Mehran Kazemi, Kristian Kersting, Roni Khardon, Angelika Kimmig, Jacek Kisyński, Daniel Lowd, Wannes Meert, Martin Mladenov, Raymond Mooney, Sriraam Natarajan, Mathias Niepert, David Poole, Scott Sanner, Pascal Schweitzer, Nima Taghipour, Guy Van den Broeck

Pre-Order Paperback

$70.00 X ISBN: 9780262542593 454 pp. | 7 in x 9 in

Editors

Guy Van den Broeck

Guy Van den Broeck is Associate Professor of Computer Science at the University of California, Los Angeles.

Kristian Kersting

Kristian Kersting is Professor in the Computer Science Department and the Centre for Cognitive Science at Technische Universität Darmstadt.

Sriraam Natarajan

Sriraam Natarajan is Professor and the Director of the Center for Machine Learning in the Department of Computer Science at the University of Texas at Dallas.

Endorsements

  • “Lifted probabilistic inference is one of the most important directions in contemporary AI, and this book, put together by many of the leading researchers on the topic, provides an excellent overview and a wealth of technical details. This exciting new book will be immensely useful to a broad range of AI researchers and students.”

    Holger H. Hoos

    AAAI and EurAI Fellow, Universiteit Leiden and University of British Columbia

  • “What a treat to have many of the leading experts in the field come together to explain the state of the art. Sure to become a standard reference.”

    Toby Walsh

    Professor of Artificial Intelligence, University of New South Wales, and Data61