Online optimization

Online optimization is a field of optimization theory, more popular in computer science and operations research, that deals with the optimization… (More)
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Topic mentions per year

Topic mentions per year

1993-2018
05010019932018

Papers overview

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Highly Cited
2014
Highly Cited
2014
Faster, cheaper, and more power efficient optimization solvers than those currently possible using general-purpose techniques are… (More)
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Highly Cited
2012
Highly Cited
2012
In Infrastructure-as-a-Service (IaaS) cloud computing, computational resources are provided to remote users in the form of leases… (More)
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Highly Cited
2010
Highly Cited
2010
A widely recognized shortcoming of model predictive control (MPC) is that it can usually only be used in applications with slow… (More)
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Highly Cited
2010
Highly Cited
2010
  • Lin Xiao
  • Journal of Machine Learning Research
  • 2010
We consider regularized stochastic learning and online optimization problems, where the objective function is the sum of two… (More)
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Highly Cited
2010
Highly Cited
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning… (More)
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Highly Cited
2009
Highly Cited
2009
Sparse coding---that is, modelling data vectors as sparse linear combinations of basis elements---is widely used in machine… (More)
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Highly Cited
2008
Highly Cited
2008
We consider a generalization of stochastic bandit problems where the set of arms, X , is allowed to be a generic topological… (More)
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Highly Cited
2008
Highly Cited
2008
Limits on the storage space or the computation time restrict the applicability of model predictive controllers (MPC) in many real… (More)
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Highly Cited
2007
Highly Cited
2007
We develop stochastic variants of the wellknown BFGS quasi-Newton optimization method, in both full and memory-limited (LBFGS… (More)
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Highly Cited
2003
Highly Cited
2003
Properly optimizing the setting of configuration parameters can greatly improve performance, especially in the presence of… (More)
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