40 citations · 88 across the 7 of their papers we have counts for
Showing 2018Show all
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math.ST2018★ 1 cited
Robust Bregman Clustering
Aurélie Fischer, Clément Levrard, Claire Brécheteau
Using a trimming approach, we investigate a k-means type method based on Bregman divergences for clustering data possibly corrupted with clutter noise. The main interest of Bregman…
stat.ML2018
Aggregation using input-output trade-off
Aurélie Fischer, Mathilde Mougeot
In this paper, we introduce a new learning strategy based on a seminal idea of Mojirsheibani (1999, 2000, 2002a, 2002b), who proposed a smart method for combining several classifie…
math.ST2018★ 2 cited
Convergence rates for smooth k-means change-point detection
Aurélie Fischer, Dominique Picard
In this paper, we consider the estimation of a change-point for possibly high-dimensional data in a Gaussian model, using a k-means method. We prove that, up to a logarithmic term,…