Random Approximation Algorithms Professors in Global

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Gara Pruesse
Vancouver Island University Canada
approximation algorithms
optimization algorithms
discrete algorithms
graph algorithms
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Mohammad Salavatipour
University of Alberta Canada
approximation algorithms
probabilistic randomized algorithms
algorithmics
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Kiefer
Technical University of Berlin Germany
approximation algorithms
graph algorithms
mathematical optimization
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Marc Renault
University of Wisconsin United States of America
approximation algorithms
search algorithms
online algorithms
analysis of algorithms
offline algorithms
streaming algorithms
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Nicole Wein
University of Michigan United States of America
distance-estimation algorithms
online algorithms
parameterized algorithms
dynamic algorithms
distributed algorithms
graph algorithms
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Michał Dereziński
University of Michigan United States of America
random matrix theory
stochastic optimization
randomized numerical linear algebra
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Xiucai Ding
University of California, Davis United States of America
stochastic optimization
applied random matrix theory
randomized numerical linear algebra
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Zachary Friggstad
University of Alberta Canada
approximation algorithms
algorithmics
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Konstantinos Georgiou
Toronto Metropolitan University Canada
approximation algorithms
distributed algorithms
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Ellis Hershkowitz
Brown University United States of America
approximation algorithms
graph algorithms
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Inge Gørtz
Technical University of Denmark Denmark
approximation algorithms
algorithms
graph algorithms
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
approximation algorithms
quantum algorithms
data stream algorithms
graph algorithms
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
approximation algorithms
dynamic algorithms
sublinear 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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Asish Mukhopadhyay
University of Windsor Canada
approximation algorithms
algorithms
graph algorithms
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Retsef Levi
Massachusetts Institute of Technology United States of America
approximation algorithms
data-driven algorithms
stochastic optimization
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David Shmoys
Cornell University Netherlands
approximation algorithms
stochastic optimization
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Chaitanya Swamy
University of Waterloo Canada
approximation algorithms
online algorithms
stochastic optimization
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Chaitanya Swamy
University of Waterloo Canada
approximation algorithms
online algorithms
stochastic optimization
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Satish Thittamaranahalli
University of Southern California United States of America
approximation randomization
algorithmic techniques
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Pierre Tarres
New York University Shanghai China
stochastic algorithms
random processes
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