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109
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CORR
2008
Springer
129views Education» more  CORR 2008»
15 years 25 days ago
Polynomial Linear Programming with Gaussian Belief Propagation
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...
Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev
103
Voted
ECCC
2006
77views more  ECCC 2006»
15 years 23 days ago
Extractors and condensers from univariate polynomials
We give new constructions of randomness extractors and lossless condensers that are optimal to within constant factors in both the seed length and the output length. For extractor...
Venkatesan Guruswami, Christopher Umans, Salil P. ...
125
Voted
JMLR
2010
161views more  JMLR 2010»
14 years 7 months ago
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Micha...
SIAMDM
2010
101views more  SIAMDM 2010»
14 years 7 months ago
Rationality and Strongly Polynomial Solvability of Eisenberg--Gale Markets with Two Agents
Inspired by the convex program of Eisenberg and Gale which captures Fisher markets with linear utilities, Jain and Vazirani [STOC, 2007] introduced the class of EisenbergGale (EG)...
Deeparnab Chakrabarty, Nikhil R. Devanur, Vijay V....
91
Voted
AMAI
2005
Springer
15 years 20 days ago
Resolution cannot polynomially simulate compressed-BFS
Many algorithms for Boolean satisfiability (SAT) work within the framework of resolution as a proof system, and thus on unsatisfiable instances they can be viewed as attempting to...
DoRon B. Motter, Jarrod A. Roy, Igor L. Markov