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TIT
2011
106views more  TIT 2011»
13 years 3 months ago
Interference Alignment-Based Sum Capacity Bounds for Random Dense Gaussian Interference Networks
We consider a dense K user Gaussian interference network formed by paired transmitters and receivers placed independently at random in a fixed spatial region. Under natural condi...
Oliver Johnson, Matthew Aldridge, Robert J. Piecho...
TIT
2011
97views more  TIT 2011»
13 years 3 months ago
Error Exponents for the Gaussian Channel With Active Noisy Feedback
We study the best exponential decay in the blocklength of the probability of error that can be achieved in the transmission of a single bit over the Gaussian channel with an activ...
Young-Han Kim, Amos Lapidoth, Tsachy Weissman
JMLR
2010
112views more  JMLR 2010»
13 years 3 months ago
Sparse Spectrum Gaussian Process Regression
We present a new sparse Gaussian Process (GP) model for regression. The key novel idea is to sparsify the spectral representation of the GP. This leads to a simple, practical algo...
Miguel Lázaro-Gredilla, Joaquin Quiñ...
JMLR
2010
106views more  JMLR 2010»
13 years 3 months ago
Improving posterior marginal approximations in latent Gaussian models
We consider the problem of correcting the posterior marginal approximations computed by expectation propagation and Laplace approximation in latent Gaussian models and propose cor...
Botond Cseke, Tom Heskes
SIAMNUM
2010
87views more  SIAMNUM 2010»
13 years 3 months ago
A Finite Element Method for Density Estimation with Gaussian Process Priors
Abstract. A variational problem characterizing the density estimator defined by the maximum a posteriori method with Gaussian process priors is derived. It is shown that this probl...
Michael Griebel, Markus Hegland