Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference

16 October 2012

Papers citing "Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference"

11 / 11 papers shown

Title
Towards Practical First-Order Model Counting Ananth K. Kidambi Guramrit Singh Paulius Dilkas Kuldeep S. Meel LRM 35 0 0 17 Feb 2025
Synthesising Recursive Functions for First-Order Model Counting: Challenges, Progress, and Conjectures Paulius Dilkas Vaishak Belle LRM 59 5 0 07 Jun 2023
State-Space Abstractions for Probabilistic Inference: A Systematic Review Stefan Lüdtke Max Schröder Frank Krüger Sebastian Bader T. Kirste 27 10 0 18 Apr 2018
New Liftable Classes for First-Order Probabilistic Inference Seyed Mehran Kazemi Angelika Kimmig Guy Van den Broeck David Poole LRM 63 37 0 26 Oct 2016
Lifted Message Passing for the Generalized Belief Propagation Udi Apsel 33 0 0 05 Oct 2016
Lifted Region-Based Belief Propagation David B. Smith Parag Singla Vibhav Gogate 38 1 0 30 Jun 2016
Approximate Lifted Inference with Probabilistic Databases Wolfgang Gatterbauer Dan Suciu TPM 96 21 0 02 Dec 2014
Dissociation and Propagation for Approximate Lifted Inference with Standard Relational Database Management Systems Wolfgang Gatterbauer Dan Suciu 129 21 0 23 Oct 2013
First-Order Decomposition Trees N. Taghipour Jesse Davis Hendrik Blockeel 160 20 0 04 Jun 2013
Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic William Yang Wang Kathryn Mazaitis William W. Cohen LRM 100 105 0 10 May 2013
Lifted Graphical Models: A Survey Lilyana Mihalkova Lise Getoor 3DV 170 96 0 25 Jul 2011