Statistical Relational AI
Papers
Automated Debugging with Tractable Probabilistic Programming
PDFProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference
PDFEfficient Probabilistic Inference for Dynamic Relational Models
PDFSolving Distributed Constraint Optimization Problems Using Ranks
PDFEvidence-Based Clustering for Scalable Inference in Markov Logic
PDFScalable Learning for Structure in Markov Logic Networks
PDFHierarchical Reasoning with Probabilistic Programming
PDFWOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming
PDFA Proposal for Statistical Outlier Detection in Relational Structures
PDFExplanation-Based Approximate Weighted Model Counting for Probabilistic Logics
PDFA Deeper Empirical Analysis of CBP Algorithm: Grounding Is the Bottleneck
PDFA Sparse Parameter Learning Method for Probabilistic Logic Programs
PDFTractable Probabilistic Knowledge Bases: Wikipedia and Beyond
PDFLearning Tractable Statistical Relational Models
PDFOrganizers
PDFTowards Adversarial Reasoning in Statistical Relational Domains
PDFApplying Marginal MAP Search to Probabilistic Conformant Planning: Initial Results
PDFClassification from One Class of Examples for Relational Domains
PDFRelational Logistic Regression: The Directed Analog of Markov Logic Networks
PDFUnderstanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting
PDFExtending PSL with Fuzzy Quantifiers
PDFRepresentation, Reasoning, and Learning for a Relational Influence Diagram Applied to a Real-Time Geological Domain
PDFParameter Estimation for Relational Kalman Filtering
PDFReasoning in the Description Logic BEL Using Bayesian Networks
PDFEfficient Markov Logic Inference for Natural Language Semantics
PDFLifting Relational MAP-LPs using Cluster Signatures
PDFPreface
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