A Central Limit Theorem for Differentially Private Query Answering
Authors: Jinshuo Dong, Weijie Su, Linjun Zhang
NeurIPS 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Our findings are corroborated by numerical experiments. |
| Researcher Affiliation | Academia | Jinshuo Dong Department of Computer Science Northwestern University and IDEAL jinshuo@northwestern.edu Weijie J. Su Department of Statistics and Data Science University of Pennsylvania suw@wharton.upenn.edu Linjun Zhang Department of Statistics Rutgers University linjun.zhang@rutgers.edu |
| Pseudocode | No | No pseudocode or algorithm blocks were found in the paper. The paper focuses on theoretical derivations and proofs. |
| Open Source Code | No | The paper does not provide any statement about releasing open-source code for the described methodology, nor does it include any links to code repositories. |
| Open Datasets | No | The paper does not mention using any specific publicly available datasets or provide access information for any datasets used in its numerical experiments. It refers to 'Numerical details can be found in the appendix' for the experiments, implying simulated data or custom setups. |
| Dataset Splits | No | The paper does not provide specific dataset split information (train/validation/test percentages or counts). It refers to numerical experiments but does not detail data partitioning. |
| Hardware Specification | No | The paper does not explicitly describe the hardware used to run its numerical experiments. No specific CPU, GPU, or other hardware details are provided. |
| Software Dependencies | No | The paper does not provide specific ancillary software details with version numbers. No programming languages, libraries, or solvers with their versions are mentioned. |
| Experiment Setup | No | The paper does not contain specific experimental setup details such as concrete hyperparameter values or training configurations in its main text. It mentions 'Numerical details can be found in the appendix' but these are not provided directly in the main body. |