Making Pairwise Binary Graphical Models Attractive
Authors: Nicholas Ruozzi, Tony Jebara
NeurIPS 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We illustrate the theory through a series of experiments on small models, grid graphs, and vertex induced subgraphs of the Epinions social network |
| Researcher Affiliation | Academia | Nicholas Ruozzi Institute for Data Sciences and Engineering Columbia University New York, NY 10027 nr2493@columbia.edu Tony Jebara Department of Computer Science Columbia University New York, NY 10027 jebara@cs.columbia.edu |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link for open-source code availability. |
| Open Datasets | No | The paper mentions the 'Epinions social network' in a footnote but does not provide specific access information (link, DOI, or formal citation with authors/year) for the dataset itself. |
| Dataset Splits | No | The paper does not provide specific dataset split information (exact percentages, sample counts, or citations to predefined splits) needed for data partitioning. |
| Hardware Specification | No | The paper does not provide specific hardware details (exact GPU/CPU models, processor types, or memory) used for running experiments. |
| Software Dependencies | No | The paper mentions a 'standard implementation of reweighted, asynchronous message passing' but does not provide specific software dependencies with version numbers. |
| Experiment Setup | Yes | We test the performance of these algorithms on Ising models with a randomly selected external field and various interaction strengths on the edges. ... The algorithms were run until the messages in consecutive time steps differed by less than 10 8 or until more than 20, 000 iterations were performed (a single iteration consists of updating all of the messages in the model). |