Closed Loop Algorithms Professors in Global

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Gara Pruesse
Vancouver Island University Canada
approximation algorithms
discrete algorithms
optimization algorithms
graph algorithms
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Kiefer
Technical University of Berlin Germany
approximation algorithms
graph algorithms
mathematical optimization
combinatorial optimization
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Nicolas Loizou
Johns Hopkins University United States of America
deep learning
distributed decentralized algorithms
large-scale optimization
machine learning
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Olga Veksler
University of Waterloo Canada
deep learning
graph algorithms
machine learning
discrete optimization
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Bartolomeo Stellato
Princeton University United States of America
machine learning
large scale optimization
mathematical optimization
real-time embedded optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
combinatorial optimization
discrete optimization
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Pierre Flener
Uppsala University Sweden
constraint programming
constraint solving
combinatorial optimization
discrete optimization
algorithm design
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Marc Renault
University of Wisconsin United States of America
approximation algorithms
search algorithms
offline algorithms
online algorithms
analysis of algorithms
algorithm design
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Irina Rish
University of Montreal Canada
optimization algorithms
deep learning
machine learning
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Nisheeth Vishnoi
Yale University United States of America
approximation algorithms
algorithmic theory
combinatorial optimization
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Olga Kuryatnikova
Erasmus University Rotterdam Netherlands
approximation algorithms
machine learning
non-linear optimization
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Nicolas Loizou
Johns Hopkins University United States of America
randomized algorithms
decentralized algorithms
large-scale optimization
machine learning
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Mario Ventresca
Purdue University United States of America
approximation algorithms
machine learning
discrete optimization
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Mohit Singh
Georgia Institute of Technology United States of America
approximation algorithms
machine learning
discrete optimization
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Tahereh Koohi
University of New South Wales Australia
evolutionary algorithms
deep learning
machine learning
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
constrained optimization
machine learning
nonlinear optimization
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Tjark Vredeveld
Maastricht University Netherlands
approximation algorithms
combinatorial optimization
discrete optimization
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Kent Quanrud
Purdue University United States of America
approximation algorithms
combinatorial optimization
algorithm design
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Debdeep Pati
University of Wisconsin–Madison United States of America
real-time tracking algorithms
machine learning
fair algorithms
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Jelena Diakonikolas
University of Wisconsin–Madison United States of America
first-order optimization algorithms
large-scale optimization
machine learning
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Chuan He
Linköping University Sweden
deep learning
large-scale optimization
machine learning
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