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..
Coresets for Wasserstein Distributionally Robust Optimization Problems
Authors: Ruomin Huang, Jiawei Huang, Wenjie Liu, Hu Ding
NeurIPS 2022 | Venue PDF | LLM Run Details | Input Tokens: 21,086 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 4,249 Total number of tokens produced by the LLM (including reasoning/thinking tokens) for this paper's analysis.
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Finally, we implement our coreset approach and illustrate its effectiveness for several WDRO problems in the experiments. |
| Researcher Affiliation | Academia | 1School of Data Science 2School of Computer Science and Technology University of Science and Technology of China 3Department of Computer Science, City University of Hong Kong |
| Pseudocode | Yes | Algorithm 1 Dual ϵ-Coreset Construction |
| Open Source Code | Yes | The code is available at https://github.com/h305142/WDRO_coreset. |
| Open Datasets | Yes | We test the algorithms for the SVM and logistic regression problems on two real datasets: MNIST[28] and LETTER[8]. The dual coreset algorithm for the robust regression problem is evaluated on the real dataset APPLIANCES ENERGY[7]. |
| Dataset Splits | No | The full settings of experiments are placed in the full version of this paper. |
| Hardware Specification | Yes | Our experiments were conducted on a server equipped with 2.4GHZ Intel CPUs and 256GB main memory. |
| Software Dependencies | Yes | We use the MOSEK [2] to solve the tractable reformulations of WDROs. [2] M. Ap S. MOSEK Optimizer API for Python 9.3.20, 2019. |
| Experiment Setup | Yes | We set c := s n to indicate the compression rate and fix the parameter γ = 7 for all the instances |