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129
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SIGMETRICS
2005
ACM
118views Hardware» more  SIGMETRICS 2005»
15 years 9 months ago
Nearly insensitive bounds on SMART scheduling
We define the class of SMART scheduling policies. These are policies that bias towards jobs with small remaining service times, jobs with small original sizes, or both, with the ...
Adam Wierman, Mor Harchol-Balter, Takayuki Osogami
141
Voted
SODA
2010
ACM
248views Algorithms» more  SODA 2010»
16 years 1 months ago
Approximating the Crossing Number of Graphs Embeddable in Any Orientable Surface
The crossing number of a graph is the least number of pairwise edge crossings in a drawing of the graph in the plane. We provide an O(n log n) time constant factor approximation al...
Petr Hlineny, Markus Chimani
124
Voted
CORR
2010
Springer
128views Education» more  CORR 2010»
15 years 3 months ago
Sublinear Optimization for Machine Learning
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff
122
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ISAAC
2009
Springer
142views Algorithms» more  ISAAC 2009»
15 years 10 months ago
Of Choices, Failures and Asynchrony: The Many Faces of Set Agreement
Abstract. Set agreement is a fundamental problem in distributed computing in which processes collectively choose a small subset of values from a larger set of proposals. The imposs...
Dan Alistarh, Seth Gilbert, Rachid Guerraoui, Core...
147
Voted
EUROCRYPT
2012
Springer
13 years 6 months ago
Decoding Random Binary Linear Codes in 2 n/20: How 1 + 1 = 0 Improves Information Set Decoding
Decoding random linear codes is a well studied problem with many applications in complexity theory and cryptography. The security of almost all coding and LPN/LWE-based schemes rel...
Anja Becker, Antoine Joux, Alexander May, Alexande...