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ADCM
2008
136views more  ADCM 2008»
14 years 12 months ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou
CORR
2010
Springer
159views Education» more  CORR 2010»
14 years 12 months ago
An Alternative Proof for the Capacity Region of the Degraded Gaussian MIMO Broadcast Channel
We provide an alternative proof for the capacity region of the degraded Gaussian multiple-input multiple-output (MIMO) broadcast channel. Our proof does not use the channel enhanc...
Ersen Ekrem, Sennur Ulukus
ICML
2006
IEEE
16 years 17 days ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
ICML
2010
IEEE
15 years 25 days ago
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multiarmed bandit problem, where the payoff function is ...
Niranjan Srinivas, Andreas Krause, Sham Kakade, Ma...
CORR
2008
Springer
96views Education» more  CORR 2008»
14 years 12 months ago
Approximating the Gaussian Multiple Description Rate Region Under Symmetric Distortion Constraints
We consider multiple description (MD) coding for the Gaussian source with K descriptions under the symmetric meansquared error (MSE) distortion constraints, and provide an approxim...
Chao Tian, Soheil Mohajer, Suhas N. Diggavi