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Algorithms based on sparsity hypotheses for robust estimation of the noise st...
Inmany applications, d-dimensional observations result fromthe randompresenceor absence of randomsignals in independent and additivewhite Gaussiannoise. An estimate of... -
Nearest neighbor classification in infinite dimension
Let $X$ be a random element in a metric space $(\calF,d)$, and let $Y$ be a random variable with value $0$ or $1$. $Y$ is called the class, or the label, of $X$.... -
Parametric Estimation of Ordinary Differential Equations with Orthogonality C...
International audience -
Multi-task statistical learning
This thesis aims at constructing, calibrating and studying multi-task estimators, in a frequentist non-parametric and non-asymptotic framework. We consider here kernel...
