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» Interpolation in Valiant's theory
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POPL
2008
ACM
15 years 10 months ago
Relevance heuristics for program analysis
Relevance heuristics allow us to tailor a program analysis to a particular property to be verified. This in turn makes it possible to improve the precision of the analysis where n...
Kenneth L. McMillan
ICS
2010
Tsinghua U.
15 years 7 months ago
Robustly Leveraging Collusion in Combinatorial Auctions
feuse of its devstting eets in utions nd other mehnismsD ollusion is prohiited nd leglly proseutedF etD olluders hve lwys existedD nd my ontinue to existF e thus rise the followin...
Jing Chen, Silvio Micali, Paul Valiant
STOC
2010
ACM
195views Algorithms» more  STOC 2010»
15 years 1 months ago
Efficiently Learning Mixtures of Two Gaussians
Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We provide a polynomial-time algorithm for this proble...
Adam Tauman Kalai, Ankur Moitra, and Gregory Valia...
COLT
1993
Springer
15 years 1 months ago
Parameterized Learning Complexity
We describe three applications in computational learning theory of techniques and ideas recently introduced in the study of parameterized computational complexity. (1) Using param...
Rodney G. Downey, Patricia A. Evans, Michael R. Fe...
COLT
2006
Springer
15 years 1 months ago
Efficient Learning Algorithms Yield Circuit Lower Bounds
We describe a new approach for understanding the difficulty of designing efficient learning algorithms. We prove that the existence of an efficient learning algorithm for a circui...
Lance Fortnow, Adam R. Klivans