Sequential Strategic Screening
Authors: Lee Cohen, Saeed Sharifi -Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
ICML 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This work is primarily theoretical. |
| Researcher Affiliation | Academia | 1Toyota Technological Institute at Chicago, Chicago, IL, USA 2H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA. |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks clearly labeled as such. It describes algorithms and optimization problems in prose and mathematical formulations. |
| Open Source Code | No | The paper does not provide concrete access to source code (no specific repository link, explicit code release statement, or mention of code in supplementary materials) for the methodology described. |
| Open Datasets | No | The paper is theoretical and does not conduct experiments on a specific dataset. Therefore, it does not provide concrete access information for a publicly available or open dataset. |
| Dataset Splits | No | The paper is theoretical and does not conduct experiments on a specific dataset. Therefore, it does not provide specific dataset split information for training, validation, or testing. |
| Hardware Specification | No | The paper is theoretical and does not describe computational experiments. Therefore, no specific hardware details are provided. |
| Software Dependencies | No | The paper is theoretical and does not describe an implementation requiring specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe empirical experiments or specific experimental setup details with concrete hyperparameter values or training configurations. |