S
Stéphane Boucheron
Researcher at Paris Diderot University
Publications - 47
Citations - 5950
Stéphane Boucheron is an academic researcher from Paris Diderot University. The author has contributed to research in topics: Random variable & Concentration inequality. The author has an hindex of 22, co-authored 47 publications receiving 5219 citations. Previous affiliations of Stéphane Boucheron include University of Angers & Pierre-and-Marie-Curie University.
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Book
Concentration Inequalities: A Nonasymptotic Theory of Independence
TL;DR: Deep connections with isoperimetric problems are revealed whilst special attention is paid to applications to the supremum of empirical processes.
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Introduction to Statistical Learning Theory
TL;DR: This tutorial introduces the techniques that are used to obtain results in the form of so-called error bounds in statistical learning theory.
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Theory of classification : a survey of some recent advances
TL;DR: The last few years have witnessed important new developments in the theory and practice of pattern classification, see as discussed by the authors for a survey of the main new ideas that have lead to these important recent developments.
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Model Selection and Error Estimation
TL;DR: A tight relationship between error estimation and data-based complexity penalization is pointed out: any good error estimate may be converted into a data- based penalty function and the performance of the estimate is governed by the quality of the error estimate.
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Concentration inequalities using the entropy method
TL;DR: In this paper, the authors investigated a new methodology, worked out by Ledoux and Massart, to prove concentration-of-measure inequalities, based on certain modified logarithmic Sobolev inequalities.