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SODA
2012
ACM
195views Algorithms» more  SODA 2012»
11 years 10 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
JMLR
2010
173views more  JMLR 2010»
13 years 2 months ago
Collaborative Filtering via Rating Concentration
While most popular collaborative filtering methods use low-rank matrix factorization and parametric density assumptions, this article proposes an approach based on distribution-fr...
Bert Huang, Tony Jebara
FSTTCS
2010
Springer
13 years 5 months ago
Recent Progress and Open Problems in Algorithmic Convex Geometry
This article is a survey of developments in algorithmic convex geometry over the past decade. These include algorithms for sampling, optimization, integration, rounding and learni...
Santosh Vempala
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 7 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
AC
2003
Springer
14 years 20 days 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...