Botond Szabo, an Associate Professor at Bocconi Department of Decision Sciences, Szabo obtained a €1.5mln ERC Starting Grant for a project (BigBayesUQ - The missing mathematical story of Bayesian uncertainty quantification for big data) aimed at developing mathematical techniques capable of assessing the uncertainty inherent in the estimates derived from machine learning algorithms and, consequently, their reliability in context of statistical models. Such algorithms are conceived to be used when a large quantity of data is involved (as in the example of the Hubble Constant and in many other cases and disciplines).

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