We study the geometry of global minima of the loss landscape of
overpara...
In this paper we study probabilistic and neural network approximations f...
Minimum-variance portfolio optimizations rely on accurate covariance
est...
In this paper, we propose an analysis of Covid19 evolution and predictio...
It is well known the sample covariance has a consistent bias in the spec...
In this paper we propose a regime separation for the analysis of Covid19...
Analysing and understanding the transmission and evolution of the COVID-...
We study the spectrum reconstruction technique. As is known to all,
eige...
We propose a new approach to address the text classification problems wh...
Naive Bayes estimator is widely used in text classification problems.
Ho...
In this paper we propose two schemes for the recovery of the spectrum of...