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An Introduction to Lifted Probabilistic Inference by
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An Introduction to Lifted Probabilistic Inference

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An Introduction to Lifted Probabilistic Inference by
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Aug 17, 2021 | ISBN 9780262542593

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  • Aug 17, 2021 | ISBN 9780262542593

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  • Aug 17, 2021 | ISBN 9780262366182

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Product Details

Table Of Contents

List of Figures
Contributors
Preface
I OVERVIEW
1 Statistical Relational AI: Representation, Inference and Learning
2 Modeling and Reasoning with Statistical Relational Representation
3 Statistical Relational Learning
II EXACT INFERENCE
4 Lifted Variable Elimination
5 Search-Based Exact Lifted Inference
6 Lifted Aggregation and Skolemization for Directed Models
7 First-Order Knowledge Compilation
8 Domain Liftability
9 Tractability through Exchangeability: The Statistics of Lifting
III APPROXIMATE INFERENCE
10 Lifted Markov Chain Monte Carlo
11 Lifted Message Passing for Probabilistic and Combinatorial Problems
12 Lifted Generalized Belief Propagation: Relax, Compensate and Recover
13 Liftability Theory of Variational Inference
14 Lifted Inference for Hybrid Relational Models
IV BEYOND PROBABILISTIC INFERENCE
15 Color Refinement and Its Applications
16 Stochastic Planning and Lifted Inference
Bibliography
Index

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