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stat.ML2022
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures
Christian Soize
This paper deals with the taking into account a given set of realizations as constraints in the Kullback-Leibler minimum principle, which is used as a probabilistic learning algori…
stat.ML2022★ 10 cited
Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints
Christian Soize
In a first part, we present a mathematical analysis of a general methodology of a probabilistic learning inference that allows for estimating a posterior probability model for a st…