Closed Loop Algorithms Professors in Global

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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
streaming algorithms
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Nicole Wein
University of Michigan United States of America
distributed algorithms
online algorithms
dynamic algorithms
parameterized algorithms
distance-estimation algorithms
graph algorithms
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
approximation algorithms
sublinear algorithms
dynamic algorithms
graph algorithms
algorithm design and analysis
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
constrained optimization
machine learning
nonlinear optimization
stochastic optimization
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Pierre Flener
Uppsala University Sweden
constraint programming
constraint solving
combinatorial optimization
discrete optimization
algorithm design
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Gara Pruesse
Vancouver Island University Canada
approximation algorithms
discrete algorithms
optimization algorithms
graph algorithms
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
quantum algorithms
approximation algorithms
data stream algorithms
graph algorithms
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Debarati Das
Pennsylvania State University United States of America
approximation algorithms
clustering algorithms
string algorithms
graph algorithms
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Tuğkan Batu
London School of Economics United Kingdom
algorithms
sublinear algorithms
randomized computation
streaming algorithms
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Lene Favrholdt
University of Southern Denmark Denmark
algorithms
on-line algorithms
graph algorithms
combinatorial optimization
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Kiefer
Technical University of Berlin Germany
approximation algorithms
graph algorithms
mathematical optimization
combinatorial optimization
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Pierre Schaus
UCLouvain Belgium
machine learning algorithms
constraint programming
anytime optimization algorithms
discrete optimization
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Eliezer Upfal
Brown University United States of America
randomized algorithms
analysis of algorithms
algorithm design
stochastic optimization
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Nima Anari
Stanford University United States of America
randomized algorithms
machine learning
combinatorial optimization
algorithm design
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Chaitanya Swamy
University of Waterloo Canada
approximation algorithms
online algorithms
combinatorial optimization
stochastic 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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Brokoslaw Laschowski
University of Toronto Canada
brain-inspired algorithms
deep learning
machine learning
neural computation
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Mohamed Hibat-allah
University of Waterloo Canada
quantum-inspired algorithms
variational algorithms
machine learning
combinatorial optimization
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Viswanath Nagarajan
University of Michigan United States of America
algorithms
machine learning
discrete optimization
stochastic 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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Nate Veldt
Texas A&M University United States of America
graph algorithms
machine learning
computational optimization
matrix computations
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