Non-excludable Bilateral Trade between Groups
Authors: Yixuan Even Xu, Hanrui Zhang, Vincent Conitzer
AAAI 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We evaluate our trading mechanisms experimentally, and the experiments align with our theoretical results. In this section, we study the non-asymptotic performance of Algorithm 1 by running experiments on various generated datasets. |
| Researcher Affiliation | Academia | Yixuan Even Xu1*, Hanrui Zhang2, Vincent Conitzer3 1Tsinghua University 2Simons Laufer Mathematical Sciences Institute 3Carnegie Mellon University |
| Pseudocode | Yes | Algorithm 1: Forced-Trade Mechanism |
| Open Source Code | Yes | The source code can be found at https://github.com/YixuanEvenXu/bilateral-trade. |
| Open Datasets | No | The paper states that data was 'generated as follows' from described distributions (Normal, Uniform, Bernoulli, Mixed) with specified parameters, rather than providing access information (links, DOIs, citations to established public datasets) for pre-existing public datasets. |
| Dataset Splits | No | The paper describes generating data from distributions and running simulations, but it does not specify explicit train/validation/test dataset splits with percentages, sample counts, or references to predefined splits. |
| Hardware Specification | No | The paper mentions implementing Algorithm 1 in C++ and running experiments, but it does not provide any specific details about the hardware used, such as GPU/CPU models, memory, or cloud instance types. |
| Software Dependencies | No | The paper states 'We implemented Algorithm 1 in C++', which specifies a programming language but does not provide specific version numbers for compilers, libraries, or other software dependencies. |
| Experiment Setup | Yes | For each type of distribution above, we performed various tests with n = {5, 100, 10000} and (µF , µG) = {(0.6, 0.4), (0.55, 0.45), (0.51, 0.49)}. The complete experimental results are shown in Table 1. All of the data are averaged over 106 runs. |