Optimal-er Auctions through Attention
Authors: Dmitry Ivanov, Iskander Safiulin, Igor Filippov, Ksenia Balabaeva
NeurIPS 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We investigate both modifications in an extensive experimental study that includes settings with constant and inconstant numbers of items and participants, as well as novel validation procedures tailored to regret-based approaches. |
| Researcher Affiliation | Collaboration | Dmitry Ivanov HSE University & Technion Israel Iskander Safiulin Independent researcher Russia Igor Filippov Independent researcher Russia Ksenia Balabaeva ITMO University & BIOCAD Russia |
| Pseudocode | No | The paper includes a figure illustrating the architecture (Figure 1) and describes its components verbally in Section 3.1, but it does not provide structured pseudocode or an algorithm block. |
| Open Source Code | Yes | Code is available here |
| Open Datasets | No | The paper describes how the data is generated ( |
| Dataset Splits | No | The paper states that |
| Hardware Specification | No | The paper states that research was supported |
| Software Dependencies | No | The paper mentions deep learning frameworks and concepts (e.g., |
| Experiment Setup | No | The paper states that |