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 Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The Shift Toward Open and Reproducible AI Research," Under Review, 2026. doi: 10.48550/arXiv.2606.16974..
Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness
Authors: Yuheng Zhao, Yu-Hu Yan, Kfir Y. Levy, Peng Zhao
NeurIPS 2025 | Venue PDF | LLM Run Details | Input Tokens: 28,496 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 2,780 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 | All proofs are in the appendices. This paper does not include experiments. |
| Researcher Affiliation | Academia | 1 National Key Laboratory for Novel Software Technology, Nanjing University, China 2 School of Artificial Intelligence, Nanjing University, China 3 Electrical and Computer Engineering, Technion, Haifa, Israel |
| Pseudocode | Yes | Algorithm 1 Stabilized Online-to-Batch Conversion. Algorithm 2 Universal Accelerated Strongly Convex Optimization. Algorithm 3 Universal Accelerated Strongly Convex Optimization, Search Method. |
| Open Source Code | No | The NeurIPS Paper Checklist, section "5. Open access to data and code", states: "Justification: This paper does not include experiments requiring code." |
| Open Datasets | No | The NeurIPS Paper Checklist, section "4. Experimental result reproducibility", states: "Justification: This paper does not include experiments." |
| Dataset Splits | No | The NeurIPS Paper Checklist, section "4. Experimental result reproducibility", states: "Justification: This paper does not include experiments." |
| Hardware Specification | No | The NeurIPS Paper Checklist, section "8. Experiments compute resources", states: "Justification: This paper does not include experiments." |
| Software Dependencies | No | The NeurIPS Paper Checklist, section "5. Open access to data and code", states: "Justification: This paper does not include experiments requiring code." |
| Experiment Setup | No | The NeurIPS Paper Checklist, section "6. Experimental setting/details", states: "Justification: This paper does not include experiments." |