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» Randomness, Stochasticity and Approximations
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ICTAI
2009
IEEE
13 years 6 months ago
Stochastic Offline Programming
We propose a framework which we call stochastic offline programming (SOP). The idea is to embed the development of combinatorial algorithms in an off-line learning environment whi...
Yuri Malitsky, Meinolf Sellmann
JMLR
2010
152views more  JMLR 2010»
13 years 3 months ago
Stochastic Composite Likelihood
Maximum likelihood estimators are often of limited practical use due to the intensive computation they require. We propose a family of alternative estimators that maximize a stoch...
Joshua V. Dillon, Guy Lebanon
ICASSP
2011
IEEE
13 years 26 days ago
Stochastic analysis of two-tier networks: Effect of spectrum allocation
Recently, there is an increasing interest in the deployment of femto access points (FAPs), which are short-range low-power home basestations, over a macro cellular network to impr...
Wang Chi Cheung, Tony Q. S. Quek, Marios Kountouri...
CORR
2010
Springer
157views Education» more  CORR 2010»
13 years 9 months ago
A Dense Hierarchy of Sublinear Time Approximation Schemes for Bin Packing
The bin packing problem is to find the minimum number of bins of size one to pack a list of items with sizes a1,
Richard Beigel, Bin Fu
NIPS
2007
13 years 10 months ago
Random Features for Large-Scale Kernel Machines
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
Ali Rahimi, Benjamin Recht