Statistical relational learning


I cannot help but notice that the discussions of changing probabilistic domain, and unusual assumptions about exchangeability and projectivity are reminiscent of inference on social graphs. Connections?

See the big book of SRL.


Braz, Rodrigo de Salvo, Eyal Amir, and Dan Roth. 2008. A Survey of First-Order Probabilistic Models.” In Innovations in Bayesian Networks, edited by Dawn E. Holmes and Lakhmi C. Jain, 156:289–317. Berlin, Heidelberg: Springer Berlin Heidelberg.
Crane, Harry, and Walter Dempsey. 2019. Relational Exchangeability.” Journal of Applied Probability 56 (1): 192–208.
De Raedt, Luc, Kristian Kersting, Sriraam Natarajan, and David L. Poole. 2016. Statistical relational artificial intelligence: logic, probability, and computation. Synthesis lectures on artificial intelligence and machine learning #32. San Rafael, California: Morgan & Claypool Publishers.
Dehbi, Youness, Fabian Hadiji, Gerhard Gröger, Kristian Kersting, and Lutz Plümer. 2017. Statistical Relational Learning of Grammar Rules for 3D Building Reconstruction.” Transactions in GIS 21 (1): 134–50.
Getoor, Lise, Daphne Koller, and Avi Pfeffer. n.d. “Learning Probabilistic Relational Models,” 8.
Getoor, Lise, and Ben Taskar, eds. 2007. Introduction to Statistical Relational Learning. Adaptive Computation and Machine Learning. Cambridge, Mass: MIT Press.
Jaeger, Manfred, and Oliver Schulte. 2021. A Complete Characterization of Projectivity for Statistical Relational Models.” In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 4283–90. IJCAI’20. Yokohama, Yokohama, Japan.
Jha, Abhay, Vibhav Gogate, Alexandra Meliou, and Dan Suciu. 2010. Lifted Inference Seen from the Other Side : The Tractable Features.” In Advances in Neural Information Processing Systems. Vol. 23. Curran Associates, Inc.
Khosravi, Hassan, and Bahareh Bina. 2010. A Survey on Statistical Relational Learning.” In Advances in Artificial Intelligence, edited by Atefeh Farzindar and Vlado Kešelj, 6085:256–68. Berlin, Heidelberg: Springer Berlin Heidelberg.
Raedt, Luc De, and Kristian Kersting. 2010. Statistical Relational Learning.” In Encyclopedia of Machine Learning, edited by Claude Sammut and Geoffrey I. Webb, 916–24. Boston, MA: Springer US.
Riguzzi, Fabrizio, Elena Bellodi, Riccardo Zese, Giuseppe Cota, and Evelina Lamma. 2017. A Survey of Lifted Inference Approaches for Probabilistic Logic Programming Under the Distribution Semantics.” International Journal of Approximate Reasoning 80 (January): 313–33.
Van den Broeck, Guy, Kristian Kersting, Sriraam Natarajan, and David Poole, eds. 2021. An Introduction to Lifted Probabilistic Inference. Cambridge, Massachusetts: The MIT Press.
Van den Broeck, Guy, and Mathias Niepert. 2014. Lifted Probabilistic Inference for Asymmetric Graphical Models.” arXiv.
Weitkämper, Felix. 2022. Projectivity Revisited.” arXiv.

No comments yet. Why not leave one?

GitHub-flavored Markdown & a sane subset of HTML is supported.