16 citations · 71 across the 18 of their papers we have counts for
3 papers · 1 filter
The Generalized Cross Validation Filter
Giulio Bottegal, Gianluigi Pillonetto
Generalized cross validation (GCV) is one of the most important approaches used to estimate parameters in the context of inverse problems and regularization techniques. A notable e…
Boosting as a kernel-based method
Aleksandr Y. Aravkin, Giulio Bottegal, Gianluigi Pillonetto
Boosting combines weak (biased) learners to obtain effective learning algorithms for classification and prediction. In this paper, we show a connection between boosting and kernel-…
Outlier robust system identification: a Bayesian kernel-based approach
Giulio Bottegal, Aleksandr Y. Aravkin, Hakan Hjalmarsson +1
In this paper, we propose an outlier-robust regularized kernel-based method for linear system identification. The unknown impulse response is modeled as a zero-mean Gaussian proces…