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» On Iterative Regularization and Its Application
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FSTTCS
2009
Springer
15 years 4 months ago
Iterative Methods in Combinatorial Optimization
We describe a simple iterative method for proving a variety of results in combinatorial optimization. It is inspired by Jain’s iterative rounding method (FOCS 1998) for designing...
R. Ravi
CSCW
2000
ACM
15 years 1 months ago
Evolution of Contact Point: a case study of a help desk and its users
This paper describes the evolution of a concept, Contact Point, the research process through which it evolved, and the work context and practices which drove its evolution. Contac...
Lena Mamykina, Catherine G. Wolf
IPPS
2006
IEEE
15 years 3 months ago
Dynamic performance prediction of an adaptive mesh application
While it is possible to accurately predict the execution time of a given iteration of an adaptive application, it is not generally possible to predict the data-dependent adaptive ...
Mark M. Mathis, Darren J. Kerbyson
NIPS
2008
14 years 11 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
93
Voted
PC
2010
101views Management» more  PC 2010»
14 years 4 months ago
An efficient parallel implementation of the MSPAI preconditioner
We present an efficient implementation of the Modified SParse Approximate Inverse (MSPAI) preconditioner. MSPAI generalizes the class of preconditioners based on Frobenius norm mi...
Thomas Huckle, A. Kallischko, A. Roy, M. Sedlacek,...