Handling Overlaps When Lifting Gaussian Bayesian Networks
Authors: Mattis Hartwig, Tanya Braun, Ralf Möller
IJCAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Complexity analyses and experimental results show that despite overlaps constructing a lifted joint and answering queries on the lifted joint outperform their grounded counterparts significantly. |
| Researcher Affiliation | Academia | Mattis Hartwig1 , Tanya Braun1 , Ralf M oller2 1Institute of Information Systems, University of L ubeck, L ubeck, Germany 2 German Research Centre for Artificial Intelligence, L ubeck, Germany |
| Pseudocode | No | The paper provides mathematical formulas and descriptions but does not include structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described. |
| Open Datasets | No | The paper describes setting up an experiment with generated data ("We set up an experiment with 4 PRVs and 5 logvars that are partially shared. We increase the domain sizes of 2 logvars in exponential steps (from 2 to 27) resulting in around 20,000 randvars in the grounded model for the largest domains.") but does not provide access information for a publicly available or open dataset. |
| Dataset Splits | No | The paper does not provide specific dataset split information (exact percentages, sample counts, or citations to predefined splits) needed to reproduce the data partitioning. |
| Hardware Specification | No | The paper does not provide specific hardware details (exact GPU/CPU models, processor types, or memory amounts) used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details (e.g., library or solver names with version numbers) needed to replicate the experiment. |
| Experiment Setup | Yes | We set up an experiment with 4 PRVs and 5 logvars that are partially shared. We increase the domain sizes of 2 logvars in exponential steps (from 2 to 27) resulting in around 20,000 randvars in the grounded model for the largest domains. For conditional query answering, we introduce evidence for the majority of the randvars and use a query set of 4 randvars. |