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CISS
2008
IEEE
14 years 4 months ago
Subgradient methods in network resource allocation: Rate analysis
— We consider dual subgradient methods for solving (nonsmooth) convex constrained optimization problems. Our focus is on generating approximate primal solutions with performance ...
Angelia Nedic, Asuman E. Ozdaglar
NIPS
2003
13 years 11 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss
TWC
2010
13 years 4 months ago
Distributed power allocation in multi-user multi-channel cellular relay networks
In this paper, we consider the amplify-and-forward relaying transmission in the downlink of a multi-channel cellular network with one base station and multiple relay-destination pa...
Shaolei Ren, Mihaela van der Schaar
JMLR
2008
168views more  JMLR 2008»
13 years 9 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
PPNA
2011
13 years 19 days ago
Ad-hoc limited scale-free models for unstructured peer-to-peer networks
Several protocol efficiency metrics (e.g., scalability, search success rate, routing reachability and stability) depend on the capability of preserving structure even over the ch...
Durgesh Rani Kumari, Hasan Guclu, Murat Yuksel