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» Convex and Network Flow Optimization for Structured Sparsity
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CORR
2010
Springer
151views Education» more  CORR 2010»
13 years 5 months ago
On the Convexity of Latent Social Network Inference
In many real-world scenarios, it is nearly impossible to collect explicit social network data. In such cases, whole networks must be inferred from underlying observations. Here, w...
Seth A. Myers, Jure Leskovec
CDC
2008
IEEE
167views Control Systems» more  CDC 2008»
13 years 6 months ago
Convex formulations of aggregate network air traffic flow optimization problems
The problem of regulating air traffic in the en route airspace of the National Airspace System is studied using an Eulerian network model to describe air traffic flow. The evolutio...
Daniel B. Work, Alexandre M. Bayen
CISS
2008
IEEE
13 years 11 months ago
Game theory for heterogeneous flow control
—A general framework is developed for networks with flows that use all available congestion signals to regulate their rates. It is conceptually a generalization of the existing ...
Ao Tang, Lachlan L. H. Andrew
JMLR
2011
148views more  JMLR 2011»
12 years 11 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 2 months ago
CUR from a Sparse Optimization Viewpoint
The CUR decomposition provides an approximation of a matrix X that has low reconstruction error and that is sparse in the sense that the resulting approximation lies in the span o...
Jacob Bien, Ya Xu, Michael W. Mahoney