Sparse Signal Models Optimization Professors in Global

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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
distributed optimization
constrained optimization
nonlinear optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
optimization algorithms
distributed optimization
constrained optimization
nonlinear optimization
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Kalyanmoy Deb
Michigan State University United States of America
meta-modeling optimization
computational optimization
process optimization
multi-objective optimization
hybrid optimization algorithms
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Rina Foygel Barber
University of Chicago United States of America
sparse regression
sparse nonparametric models
optimization
scalable optimization techniques
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Cynthia Vinzant
University of Washington United States of America
linear optimization
mathematical optimization
discrete optimization
combinatorial optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
nonlinear optimization
combinatorial optimization
convex optimization
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Ian Wassell
University of Cambridge United Kingdom
sparse representation data
sparse image video coding
signal processing
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Siva Maguluri
Georgia Institute of Technology United States of America
stochastic optimization
optimization
distributed optimization
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Alexandre Jacquillat
Massachusetts Institute of Technology United States of America
stochastic optimization
large-scale optimization
integer optimization
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Mihailo Jovanovic
University of Southern California United States of America
sparsity-promoting optimal control
optimization
large-scale distributed optimization
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
nonlinear optimization
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Mihailo Jovanovic
University of Southern California United States of America
sparsity-promoting optimal control
optimization
large-scale distributed optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
power system optimization
distributed optimization
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Ann-brith Strömberg
University of Gothenburg Sweden
mathematical optimization
simulation-based optimization
multi-objective optimization
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Mark Daskin
University of Michigan United States of America
mathematical optimization
integer optimization
discrete optimization
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Bistra Dilkina
University of Southern California United States of America
stochastic optimization
discrete optimization
combinatorial optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
stochastic optimization
optimization
combinatorial optimization
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Susan Hunter
Purdue University United States of America
stochastic optimization
simulation modeling
multi-objective optimization
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Trac-duy Tran
Johns Hopkins University United States of America
sparse representation
sparse recovery
signal analysis
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Marina Epelman
University of Michigan United States of America
mathematical optimization
integer optimization
discrete optimization
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Subhrakanti Dey
Uppsala University Sweden
stochastic optimization
distributed optimization
signal processing
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