1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2024★ 1 cited
PAC-Bayes-Chernoff bounds for unbounded losses
Ioar Casado, Luis A. Ortega, Aritz Pérez +1
We introduce a new PAC-Bayes oracle bound for unbounded losses that extends Cramér-Chernoff bounds to the PAC-Bayesian setting. The proof technique relies on controlling the tails…
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…