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stat.ML2023
Time-dependent Probabilistic Generative Models for Disease Progression
Onintze Zaballa, Aritz Pérez, Elisa Gómez-Inhiesto +2
Electronic health records contain valuable information for monitoring patients' health trajectories over time. Disease progression models have been developed to understand the unde…
stat.ML2023
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…