3 citations · 4 across the 6 of their papers we have counts for
9 papers
Gaussian kernel expansion with basis functions uniformly bounded in
Mauro Bisiacco, Gianluigi Pillonetto
Kernel expansions are a topic of considerable interest in machine learning, also because of their relation to the so-called feature maps introduced in machine learning. Properties…
Kernel-based function learning in dynamic and non stationary environments
Alberto Giaretta, Mauro Bisiacco, Gianluigi Pillonetto
One central theme in machine learning is function estimation from sparse and noisy data. An example is supervised learning where the elements of the training set are couples, each…
Absolute integrability of Mercer kernels is only sufficient for RKHS stability
Mauro Bisiacco, Gianluigi Pillonetto
Reproducing kernel Hilbert spaces (RKHSs) are special Hilbert spaces in one-to-one correspondence with positive definite maps called kernels. They are widely employed in machine le…
On the stability test for reproducing kernel Hilbert spaces
Mauro Bisiacco, Gianluigi Pillonetto
Reproducing kernel Hilbert spaces (RKHSs) are special Hilbert spaces where all the evaluation functionals are linear and bounded. They are in one-to-one correspondence with positiv…
Sliding-mode theory under feedback constraints and the problem of epidemic control
Mauro Bisiacco, Gianluigi Pillonetto
One of the most important branches of nonlinear control theory is the so-called sliding-mode. Its aim is the design of a (nonlinear) feedback law that brings and maintains the stat…
COVID-19 epidemic control using short-term lockdowns for collective gain
Mauro Bisiacco, Gianluigi Pillonetto
While many efforts are currently devoted to vaccines development and administration, social distancing measures, including severe restrictions such as lockdowns, remain fundamental…