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» Proving Time Bounds for Randomized Distributed Algorithms
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FOCS
2008
IEEE
16 years 25 days ago
Beating the Random Ordering is Hard: Inapproximability of Maximum Acyclic Subgraph
We prove that approximating the Max Acyclic Subgraph problem within a factor better than 1/2 is Unique-Games hard. Specifically, for every constant ε > 0 the following holds:...
Venkatesan Guruswami, Rajsekar Manokaran, Prasad R...
MA
2010
Springer
140views Communications» more  MA 2010»
15 years 4 months ago
On the limiting spectral distribution of the covariance matrices of time-lagged processes
We consider two continuous-time Gaussian processes, one being partially correlated to a time-lagged version of the other. We first give the limiting spectral distribution for the ...
Christian Y. Robert, Mathieu Rosenbaum
STOC
1994
ACM
128views Algorithms» more  STOC 1994»
15 years 10 months ago
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
We present new results on the well-studied problem of learning DNF expressions. We prove that an algorithm due to Kushilevitz and Mansour [13] can be used to weakly learn DNF form...
Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, ...
NIPS
2007
15 years 7 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...
ICC
2011
IEEE
219views Communications» more  ICC 2011»
14 years 6 months ago
Deterministic Equivalents for the Performance Analysis of Isometric Random Precoded Systems
—We consider a general wireless channel model for different types of code-division multiple access (CDMA) and space-division multiple-access (SDMA) systems with isometric random ...
Jakob Hoydis, Romain Couillet, Mérouane Deb...