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AC
2003
Springer
13 years 10 months ago
Concentration Inequalities
Concentration inequalities deal with deviations of functions of independent random variables from their expectation. In the last decade new tools have been introduced making it pos...
Stéphane Boucheron, Gábor Lugosi, Ol...
RSA
2006
96views more  RSA 2006»
13 years 4 months ago
Concentration inequalities for functions of independent variables
Following the entropy method this paper presents general concentration inequalities, which can be applied to combinatorial optimization and empirical processes. The inequalities g...
Andreas Maurer
SODA
2012
ACM
195views Algorithms» more  SODA 2012»
11 years 7 months ago
Concentration and moment inequalities for polynomials of independent random variables
In this work we design a general method for proving moment inequalities for polynomials of independent random variables. Our method works for a wide range of random variables incl...
Warren Schudy, Maxim Sviridenko
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 5 months ago
A note on concentration of submodular functions
We survey a few concentration inequalities for submodular and fractionally subadditive functions of independent random variables, implied by the entropy method for self-bounding f...
Jan Vondrák
ISVC
2010
Springer
13 years 3 months ago
A Sharp Concentration-Based Adaptive Segmentation Algorithm
We propose an adaptive procedure for segmenting images by merging of homogeneous regions. The algorithm is based on sharp concentration inequalities and is tailored to avoid over-...
Christophe Fiorio, Andre Mas