In this paper, a modified version of maximum correntropy criterion (MCC) with application in
online regression (or adaptive filtering) is proposed. It is well known that information …

In this paper, robust linear adaptive filtering in presence of non-Gaussian noise is
addressed. More precisely, the well-known algorithm for robust adaptive learning called …

In this paper, online linear regression in environ-ments corrupted by non-Gaussian noise is
addressed. In such environments, the error between the system output and the label also …

PdM is unready to face the near-future incoming challenges since it is anchored in an
obsolete paradigm alien to the incoming cyber-physical reality and unfit for unbelievable …

Response Surface Models (RSMs) are fast, reduced complexity models that are fit to
approximate the response of a complex higher-level model to changes in its inputs. They …

In this thesis, we incorporate information theory into statistical signal processing and
machine learning in order to achieve robust learning in presence of outliers (or generally in …