[Statlist] Next talk: Friday, March 01, 2013 with Sébastien Loustau (Université d'Angers, France)

[Cecilia Rey]

ETH and University of Zurich

Organisers:
Proff. P. Bühlmann - L. Held - H.R. Kuensch - M. Maathuis - S. van de Geer - M. Wolf 

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We are glad to announce the following talk

Friday, March 01, 2013 -  15.15h  ETH Zurich HG G 19.1
with Sébastien Loustau (Université d'Angers, France) 

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Title:
Inverse Statistical Learning

Abstract:
We propose to consider the problem of statistical learning when we observe a contaminated sample. More precisely, we state fast rates of convergence in classification with errors in variables for deconvolution empirical risk minimizers. These rates depends on the ill-posedness, the margin and the complexity of the problem. The cornerstone of the proof is a bias variance decomposition of the excess risk. 
After a theoretical study of the problem, we turn out into more practical considerations by presenting a new algorithm for noisy finite dimensional clustering called noisy K-means.

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This abstract is also to be found under the following link: http://stat.ethz.ch/talks/research_seminar

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