The Semi-Random Satisfaction of Voting Axioms
Authors: Lirong Xia
NeurIPS 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Table 2 summarizes corollaries of our results under some commonly-studied voting rules w.r.t. IC as well as the satisfaction of CC and PAR on Preflib data [35], where Θ(1) (1 Θ(1)) means that there exists constants 0 < α < β 1 that do not depend on n, such that the likelihood is in [α, β]. Experimental results are presented in Appendix G. Additionally, Appendix G is titled 'Experimental Results on Preflib Data' and states 'To test the predictions of our theory, we analyze the satisfaction of CC and PAR on PrefLib data [35].' |
| Researcher Affiliation | Academia | Lirong Xia RPI, Troy, NY 12180, USA xialirong@gmail.com |
| Pseudocode | No | The paper describes its methods using mathematical definitions, theorems, and proofs, but does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any explicit statement about releasing its source code or a link to a code repository for the methodology described. |
| Open Datasets | Yes | The PrefLib data is publicly available at http://www.preflib.org. We download the complete set of 315 profiles of linear orders under the elections category... [35] |
| Dataset Splits | No | The paper uses the PrefLib dataset and scales profiles to n=1000 votes, but it does not specify any training, validation, or test dataset splits, nor does it mention cross-validation setup. |
| Hardware Specification | No | The paper does not provide specific details about the hardware (e.g., GPU models, CPU types, or memory) used to run its experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies, such as library names with version numbers, required to replicate the experiments. |
| Experiment Setup | Yes | In Appendix G, the paper states, 'For any profile, we scale it so that the total number of votes is n = 1000,' which describes a specific setting for processing the PrefLib data. |