BIRS Workshop Lecture Videos

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BIRS Workshop Lecture Videos

Information-theoretic limits of Bayesian inference in Gaussian noise Miolane, Léo

Description

We will discuss briefly the statistical estimation of a signal (vector, matrix, tensor...) corrupted by Gaussian noise. We will restrict ourselves to information-theoretic considerations and draw connections with statistical physics (random energy model, p-spin model).

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Attribution-NonCommercial-NoDerivatives 4.0 International