1 - Contributo in rivista

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Prodotti recenti

Rec. a Viola Ottino, Alberto Carocci e “Nuovi Argomenti”. La nascita di una rivista attraverso carteggi inediti, Roma, Carocci, 2023 (“Lingue e Letterature”)

172. Rec. a Viola Ottino, Alberto Carocci e “Nuovi Argomenti”. La nascita di una rivista attraverso carteggi inediti, Roma, Carocci, 2023 (“Lingue e Letterature”), in “Antologia Vieusseux”, n.s., a. XXIX, n. 85 (gennaio-aprile 2023), pp. 117-125.

Luigi Rava e le pinete

Luigi Rava propugnò e fece approvare dal Parlamento la legge del 1905 per la Pineta di Ravenna, primo provvedimento legislativo del Regno d'Italia di protezione di un pezzo del territorio nazionale. L'articolo ripercorre le principali tappe di quella vicenda.

Analyzing cultural relationships visual cues through deep learning models in a cross-dataset setting

To study the evolution of specific cultures and times different kinds of pictures could be adopted. Family album photos may reveal socio-historical insights regarding those specific cultures and times. Along this path, this work addresses the problem of automatically dating an image by resorting to the analysis of an analog family album photo dataset. In particular, the IMAGO collection, which contains Italian photos shot in the 20th century, was considered. Thanks to the IMAGO dataset, it wa...

Bid-ask bounds for option prices: the two-tail distortion model

We model the bid-ask spreads of call and put options by a two-tail distortion (2TD) of a reference probability distribution. The model applies the Choquet pricing approach with no-arbitrage restrictions, requiring a duality relationship between the capacities pricing long and short positions of call and put options. Moreover, the put-call parity relationship requires that the sum of bid-ask spreads of call and put options with the same strike be invariant across the strikes. We calibrate the...

A note on diffusion limits for stochastic gradient descent

In the machine learning literature stochastic gradient descent has recently been widely discussed for its purported implicit regularization properties. Much of the theory, that attempts to clarify the role of noise in stochastic gradient algorithms, has approximated stochastic gradient descent by a stochastic differential equation with Gaussian noise. We provide a rigorous theoretical justification for this practice that showcases how the Gaussianity of the noise arises naturally.

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