Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference
Authors: Ce Zhang, Yixin Han, Yafei Wang, Xiaodong Yan, Linglong Kong, Ting Li, Bei Jiang
ICML 2025 | Venue PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Extensive simulation studies and real-world applications confirm that our methods outperform existing approaches in terms of precise estimation, privacy protection, and reliable inference. |
| Researcher Affiliation | Academia | 1Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Canada 2School of Mathematics and Statistics, Xi an Jiaotong University, Xi an, China 3Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China. Correspondence to: Bei Jiang <EMAIL>, Ting Li <EMAIL>. |
| Pseudocode | No | The paper contains mathematical derivations, theoretical results, and proofs, but no clearly labeled pseudocode or algorithm blocks are present. |
| Open Source Code | No | The paper does not contain an explicit statement about releasing source code, nor does it provide a link to a code repository. |
| Open Datasets | Yes | In Section 6, we apply our proposed method to a real-world dataset focused on measuring plagiarism among students, as detailed in (Jann et al., 2012). |
| Dataset Splits | Yes | For our analysis, the dataset was divided into two parts: 75% of the data was used to train the model, while the remaining 25% was reserved for testing. |
| Hardware Specification | No | The paper does not provide specific hardware details such as GPU/CPU models, processor types, or memory amounts used for running the experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies or library versions used for implementation or experimentation. |
| Experiment Setup | Yes | We set d = 4, sample size n = 105 and fix β = (1, 0.25, 0, 0.5) . Two covariate structures are considered... We set the nominal significant level α = 0.05. We study both the ε-DP (δ = 0) and (ε, δ)-DP (δ = 10 5). All simulation results are based on B = 500 independent replications... |