13 citations · 14 across the 3 of their papers we have counts for
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stat.ML2022
Dirichlet process mixture models for non-stationary data streams
Ioar Casado, Aritz Pérez
In recent years, we have seen a handful of work on inference algorithms over non-stationary data streams. Given their flexibility, Bayesian non-parametric models are a good candida…
stat.ML2019★ 1 cited
Supervised classification via minimax probabilistic transformations
Santiago Mazuelas, Andrea Zanoni, Aritz Perez
Conventional techniques for supervised classification constrain the classification rules considered and use surrogate losses for classification 0-1 loss. Favored families of classi…
stat.ML2018★ 13 cited
An efficient K -means clustering algorithm for massive data
Marco Capó, Aritz Pérez, Jose A. Lozano
The analysis of continously larger datasets is a task of major importance in a wide variety of scientific fields. In this sense, cluster analysis algorithms are a key element of ex…