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New arXiv papers explore advanced quantile regression with privacy and applications

By PulseAugur Editorial · [4 sources] ·

Two new research papers on arXiv introduce advanced quantile regression techniques. The first paper details pairwise quantile regression, establishing theoretical guarantees and demonstrating its application in facial recognition error analysis. The second paper presents a locally private online quantile regression method, enabling estimation and inference under strict privacy protocols, with simulations showing its effectiveness and a New York City taxi-trip illustration. AI

IMPACT Introduces novel statistical methods for analyzing complex data distributions and ensuring privacy in machine learning applications.

RANK_REASON Two academic papers published on arXiv detailing new statistical learning methodologies.

Read on arXiv stat.ML →

AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

New arXiv papers explore advanced quantile regression with privacy and applications

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COVERAGE [4]

  1. arXiv stat.ML TIER_1 English(EN) · Romain Th\'er\'ezien, Stephan Cl\'emen\c{c}on, Fantin Girard, Hamza El-Abdouni ·

    On Pairwise Quantile Regression -- Statistical Guarantees and Applications

    arXiv:2607.04431v1 Announce Type: new Abstract: Quantile regression provides a powerful tool for summarizing the conditional distribution of a real valued random variable (r.v.) of interest $Y$ as a function of covariates $Z$ in cases where it shows a large dispersion with high p…

  2. arXiv stat.ML TIER_1 English(EN) · Yi Liu, Qirui Hu ·

    Locally Private Online Quantile Regression: Estimation and Inference

    arXiv:2607.05312v1 Announce Type: new Abstract: We study estimation and inference for online quantile regression under a one-report user-level $\eps$-locally differentially private ($\eps$-LDP) protocol. The main difficulty is that the standard quantile-regression estimating-equa…

  3. arXiv stat.ML TIER_1 English(EN) · Qirui Hu ·

    Locally Private Online Quantile Regression: Estimation and Inference

    We study estimation and inference for online quantile regression under a one-report user-level $\eps$-locally differentially private ($\eps$-LDP) protocol. The main difficulty is that the standard quantile-regression estimating-equation contribution couples covariates with a resi…

  4. arXiv stat.ML TIER_1 English(EN) · Hamza El-Abdouni ·

    On Pairwise Quantile Regression -- Statistical Guarantees and Applications

    Quantile regression provides a powerful tool for summarizing the conditional distribution of a real valued random variable (r.v.) of interest $Y$ as a function of covariates $Z$ in cases where it shows a large dispersion with high probability, going beyond the situation where sta…

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