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» A General Greedy Approximation Algorithm with Applications
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147
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CORR
2010
Springer
94views Education» more  CORR 2010»
15 years 2 months ago
When LP is the Cure for Your Matching Woes: Improved Bounds for Stochastic Matchings
Abstract Consider a random graph model where each possible edge e is present independently with some probability pe. Given these probabilities, we want to build a large/heavy match...
Nikhil Bansal, Anupam Gupta, Jian Li, Juliá...
119
Voted
STOC
2005
ACM
130views Algorithms» more  STOC 2005»
16 years 4 months ago
Low-distortion embeddings of general metrics into the line
A low-distortion embedding between two metric spaces is a mapping which preserves the distances between each pair of points, up to a small factor called distortion. Low-distortion...
Mihai Badoiu, Julia Chuzhoy, Piotr Indyk, Anastasi...
152
Voted
STOC
2009
ACM
172views Algorithms» more  STOC 2009»
16 years 4 months ago
Linear time approximation schemes for the Gale-Berlekamp game and related minimization problems
We design a linear time approximation scheme for the GaleBerlekamp Switching Game and generalize it to a wider class of dense fragile minimization problems including the Nearest C...
Marek Karpinski, Warren Schudy
AAAI
2011
14 years 3 months ago
On Expressing Value Externalities in Position Auctions
Externalities are recognized to exist in the sponsored search market, where two co-located ads compete for user attention. Existing work focuses on the effect of another ad on th...
Florin Constantin, Malvika Rao, Chien-Chung Huang,...
123
Voted
JMLR
2010
132views more  JMLR 2010»
14 years 10 months ago
On the Impact of Kernel Approximation on Learning Accuracy
Kernel approximation is commonly used to scale kernel-based algorithms to applications containing as many as several million instances. This paper analyzes the effect of such appr...
Corinna Cortes, Mehryar Mohri, Ameet Talwalkar