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A tail bound for read-k families of functions

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Title A tail bound for read-k families of functions
 
Creator GAVINSKY, D
LOVETT, S
SAKS, M
SRINIVASAN, S
 
Subject CONCENTRATION INEQUALITIES
ENTROPY
limited independence
Chernoff bounds
Shearer's lemma
information theory
 
Description We prove a Chernoff-like large deviation bound on the sum of non-independent random variables that have the following dependence structure. The variables Y1,...,Yr are arbitrary [0,1]-valued functions of independent random variables X1,...,Xm, modulo a restriction that every X-i influences at most k of the variables Y1,...,Yr. (c) 2014 Wiley Periodicals, Inc. Random Struct. Alg., 47, 99-108, 2015
 
Publisher WILEY-BLACKWELL
 
Date 2016-01-14T10:48:17Z
2016-01-14T10:48:17Z
2015
 
Type Article
 
Identifier RANDOM STRUCTURES & ALGORITHMS, 47(1)99-108
1042-9832
1098-2418
http://dx.doi.org/10.1002/rsa.20532
http://dspace.library.iitb.ac.in/jspui/handle/100/17398
 
Language en