Online optimization is a field of optimization theory, more popular in computer science and operations research, that deals with the optimizationâ€¦Â (More)

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Highly Cited

2014

Highly Cited

2014

- Juan Luis Jerez, Paul J. Goulart, Stefan Richter, George A. Constantinides, Eric C. Kerrigan, Manfred Morari
- IEEE Transactions on Automatic Control
- 2014

Faster, cheaper, and more power efficient optimization solvers than those currently possible using general-purpose techniques areâ€¦Â (More)

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Highly Cited

2012

Highly Cited

2012

- Jiayin Li, Meikang Qiu, Zhong Ming, Gang Quan, Xiao Qin, Zonghua Gu
- J. Parallel Distrib. Comput.
- 2012

In Infrastructure-as-a-Service (IaaS) cloud computing, computational resources are provided to remote users in the form of leasesâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- Yang Wang, Stephen P. Boyd
- IEEE Transactions on Control Systems Technology
- 2010

A widely recognized shortcoming of model predictive control (MPC) is that it can usually only be used in applications with slowâ€¦Â (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 twoâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro
- Journal of Machine Learning Research
- 2010

Sparse codingâ€”that is, modelling data vectors as sparse linear combinations of basis elementsâ€”is widely used in machine learningâ€¦Â (More)

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Highly Cited

2009

Highly Cited

2009

- Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro
- ICML
- 2009

Sparse coding---that is, modelling data vectors as sparse linear combinations of basis elements---is widely used in machineâ€¦Â (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 topologicalâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- Melanie Nicole Zeilinger, Colin Neil Jones, Manfred Morari
- IEEE Transactions on Automatic Control
- 2008

Limits on the storage space or the computation time restrict the applicability of model predictive controllers (MPC) in many realâ€¦Â (More)

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Highly Cited

2007

Highly Cited

2007

- Nicol N. Schraudolph, Jin Yu, Simon GÃ¼nter
- AISTATS
- 2007

We develop stochastic variants of the wellknown BFGS quasi-Newton optimization method, in both full and memory-limited (LBFGSâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- Xue Liu, Lui Sha, Yixin Diao, Steve Froehlich, Joseph L. Hellerstein, Sujay S. Parekh
- IWQoS
- 2003

Properly optimizing the setting of configuration parameters can greatly improve performance, especially in the presence ofâ€¦Â (More)

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