17 citations · 34 across the 9 of their papers we have counts for
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math.ST2012
Fast rates for noisy clustering
Sébastien Loustau
The effect of errors in variables in empirical minimization is investigated. Given a loss and a set of decision rules , we prove a general upper bound for an empir…
math.ST2012
Statistical learning with indirect observations
Sébastien Loustau
Let be a random couple with unknown distribution . Let $\GG$ be a class of measurable functions and a loss function. The problem o…
math.ST2012★ 17 cited
Minimax fast rates for discriminant analysis with errors in variables
Sébastien Loustau, Clément Marteau
The effect of measurement errors in discriminant analysis is investigated. Given observations , where denotes a random noise, the goal is to predict the density of a…