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 standard least square regression is informative/predictive. This article aims to extend this methodology to the pairwise setting, where the variable to be explained is a similarity score between two independent observations (e.g., pixelated ID photos used as input to biometric systems), and the explanatory variables consist of the pair of covariates attached to these observations, such as age or hair color. We establ...
| Authors | Romain Thérézien, Stephan Clémençon, Fantin Girard et al. |
|---|---|
| Primary category | stat.ML |
| Published | 5 July 2026 |
| Last updated at source | 23 July 2026 |
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