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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
CSDA
2004
191views more  CSDA 2004»
13 years 4 months ago
Computing the distribution of the product of two continuous random variables
We present an algorithm for computing the probability density function of the product of two independent random variables, along with an implementation of the algorithm in a compu...
Andrew G. Glen, Lawrence Leemis, John H. Drew
CORR
2006
Springer
77views Education» more  CORR 2006»
13 years 4 months ago
Generalized Entropy Power Inequalities and Monotonicity Properties of Information
New families of Fisher information and entropy power inequalities for sums of independent random variables are presented. These inequalities relate the information in the sum of n ...
Mokshay M. Madiman, Andrew R. Barron
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 4 months ago
On the Implementation of the Probabilistic Logic Programming Language ProbLog
The past few years have seen a surge of interest in the field of probabilistic logic learning and statistical relational learning. In this endeavor, many probabilistic logics have...
Angelika Kimmig, Bart Demoen, Luc De Raedt, V&iacu...
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 4 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
EUSFLAT
2003
102views Fuzzy Logic» more  EUSFLAT 2003»
13 years 5 months ago
Transitive comparison of marginal probability distributions
A generalized dice model for the pairwise comparison of non-necessarily independent random variables is established. It is shown how the transitivity of the probabilistic relation...
Hans De Meyer, Bernard De Baets, Bart De Schuymer
COLT
1992
Springer
13 years 8 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
AC
2003
Springer
13 years 9 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...
STOC
2001
ACM
138views Algorithms» more  STOC 2001»
14 years 4 months ago
Fast computation of low rank matrix
Given a matrix A, it is often desirable to find a good approximation to A that has low rank. We introduce a simple technique for accelerating the computation of such approximation...
Dimitris Achlioptas, Frank McSherry
STOC
2004
ACM
110views Algorithms» more  STOC 2004»
14 years 4 months ago
On sums of independent random variables with unbounded variance, and estimating the average degree in a graph
We prove the following inequality: for every positive integer n and every collection X1, . . . , Xn of nonnegative independent random variables that each has expectation 1, the pr...
Uriel Feige