13 citations · 18 across the 11 of their papers we have counts for
3 papers · 1 filter
Efficient Large-Scale Learning of Minimax Risk Classifiers
Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez
Supervised learning with large-scale data usually leads to complex optimization problems, especially for classification tasks with multiple classes. Stochastic subgradient methods…
A Review on Single-Problem Multi-Attempt Heuristic Optimization
Judith Echevarrieta, Etor Arza, Aritz Pérez +1
In certain real-world optimization scenarios, practitioners are not interested in solving multiple problems but rather in finding the best solution to a single, specific problem. W…
Risk-based Calibration for Generative Classifiers
Aritz Pérez, Carlos Echegoyen, Guzmán Santafé
Generative classifiers are constructed on the basis of a joint probability distribution and are typically learned using closed-form procedures that rely on data statistics and maxi…