Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in [1].
Dynamic Auctions with Bank Accounts
Authors: Vahab Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo
IJCAI 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Finally, we empirically evaluate the revenue performance of a heuristically constructed double-reserve auction and the optimal one on an in๏ฌnite sequence of i.i.d. items. |
| Researcher Affiliation | Collaboration | Google Research, NY, USA EMAIL Pingzhong Tang and Song Zuo Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China EMAIL |
| Pseudocode | No | The paper does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not contain any statement or link indicating that the source code for the described methodology is publicly available. |
| Open Datasets | No | The paper uses mathematical distributions (exponential, lognormal, uniform) for empirical evaluation, which are not datasets with public access information in the typical sense (e.g., links, DOIs, specific repositories, or formal citations to pre-existing data collections). They describe theoretical models evaluated on simulated data derived from these distributions. |
| Dataset Splits | No | The paper does not provide specific details on dataset splits (training, validation, test) or cross-validation methodology. |
| Hardware Specification | No | The paper does not provide any specific hardware details used for running the experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers. |
| Experiment Setup | No | The paper describes the distributions used for evaluation but lacks specific details such as hyperparameters, numerical settings for the dynamic programming algorithm, or simulation parameters to reproduce the experimental setup. |