Notice: This website is continuously updated as new conference proceedings and journal volumes are published. Consequently, the figures presented here may differ from those reported in our publications.
A brief overview of our methodology is provided on the Methods page, along with references to publications documenting our approach and links to the code and data used in each study.
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.
Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games
Authors: Yang Cai, Argyris Oikonomou, Weiqiang Zheng
NeurIPS 2022 | Venue PDF | LLM Run Details | Input Tokens: 21,236 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 3,254 Total number of tokens produced by the LLM (including reasoning/thinking tokens) for this paper's analysis.
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Our results are theoretical. We state the assumptions of our results in the statements of the lemmas. If you ran experiments... [N/A] |
| Researcher Affiliation | Academia | Yang Cai Yale University EMAIL Argyris Oikonomou Yale University EMAIL Weiqiang Zheng Yale University EMAIL |
| Pseudocode | No | The algorithms (Optimistic Gradient and Extragradient) are described using mathematical equations (e.g., 'zk = ΠZ [zk 1 ηF(wk)] , wk+1 = ΠZ [zk ηF(wk)] (1)') rather than formal pseudocode blocks or algorithm boxes. |
| Open Source Code | No | Did you include the code, data, and instructions needed to reproduce the main experimental results (either in the supplemental material or as a URL)? [N/A] |
| Open Datasets | No | The paper is theoretical and does not involve experiments or datasets for training. The reproducibility checklist states 'N/A' for experimental results. |
| Dataset Splits | No | The paper is theoretical and does not involve experiments or dataset splits for validation. The reproducibility checklist states 'N/A' for experimental results. |
| Hardware Specification | No | The paper is theoretical and does not mention any specific hardware used for experiments. The reproducibility checklist states 'N/A' for experimental results. |
| Software Dependencies | No | The paper mentions 'SOS programming' but does not list specific software dependencies with version numbers for experimental setup. The reproducibility checklist states 'N/A' for experimental results. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup with hyperparameters or training configurations. The reproducibility checklist states 'N/A' for experimental results. |