Double-Weighting for Covariate Shift Adaptation

1 code implementation • 15 May 2023 • José I. Segovia-Martín, Santiago Mazuelas, Anqi Liu

Supervised learning is often affected by a covariate shift in which the marginal distributions of instances (covariates $x$) of training and testing samples $\mathrm{p}_\text{tr}(x)$ and $\mathrm{p}_\text{te}(x)$ are different but the label conditionals coincide.

Generalization Bounds

MRCpy: A Library for Minimax Risk Classifiers

1 code implementation • 4 Aug 2021 • Kartheek Bondugula, Verónica Álvarez, José I. Segovia-Martín, Aritz Pérez, Santiago Mazuelas

MRCpy provides a unified interface for different variants of MRCs and follows the standards of popular Python libraries.