1 citations · 1 across the 3 of their papers we have counts for
3 papers
Efficient Learning of Minimax Risk Classifiers in High Dimensions
Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez
High-dimensional data is common in multiple areas, such as health care and genomics, where the number of features can be tens of thousands. In such scenarios, the large number of f…
Double-Weighting for Covariate Shift Adaptation
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 ) of training and testing samples $\mathrm{p}_\text{tr}(x…
Variational Bayesian Framework for Advanced Image Generation with Domain-Related Variables
Yuxiao Li, Santiago Mazuelas, Yuan Shen
Deep generative models (DGMs) and their conditional counterparts provide a powerful ability for general-purpose generative modeling of data distributions. However, it remains chall…