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ECCC
2011
234views ECommerce» more  ECCC 2011»
12 years 11 months ago
On the complexity of computational problems regarding distributions (a survey)
We consider two basic computational problems regarding discrete probability distributions: (1) approximating the statistical difference (aka variation distance) between two given d...
Oded Goldreich, Salil P. Vadhan
CORR
2010
Springer
94views Education» more  CORR 2010»
13 years 4 months ago
Quantization of Discrete Probability Distributions
We study the problem of quantization of discrete probability distributions, arising in universal coding, as well as other applications. We show, that in many situations this probl...
Yuriy A. Reznik
COLT
2008
Springer
13 years 6 months ago
Finding Metric Structure in Information Theoretic Clustering
We study the problem of clustering discrete probability distributions with respect to the Kullback-Leibler (KL) divergence. This problem arises naturally in many applications. Our...
Kamalika Chaudhuri, Andrew McGregor
COLT
2007
Springer
13 years 10 months ago
Sketching Information Divergences
When comparing discrete probability distributions, natural measures of similarity are not p distances but rather are informationdivergences such as Kullback-Leibler and Hellinger. ...
Sudipto Guha, Piotr Indyk, Andrew McGregor
CONCUR
2009
Springer
13 years 11 months ago
Strict Divergence for Probabilistic Timed Automata
Abstract. Probabilistic timed automata are an extension of timed automata with discrete probability distributions. In previous work, a probabilistic notion of time divergence for p...
Jeremy Sproston
ICDE
2010
IEEE
227views Database» more  ICDE 2010»
14 years 4 months ago
Approximate Confidence Computation in Probabilistic Databases
Abstract-- This paper introduces a deterministic approximation algorithm with error guarantees for computing the probability of propositional formulas over discrete random variable...
Dan Olteanu, Jiewen Huang, Christoph Koch