Sampling Based Algorithms Professors in Global

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Nicole Wein
University of Michigan United States of America
parameterized algorithms
distributed algorithms
online algorithms
distance-estimation algorithms
dynamic algorithms
graph algorithms
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Marc Renault
University of Wisconsin United States of America
approximation algorithms
search algorithms
online algorithms
analysis of algorithms
offline 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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Debarati Das
Pennsylvania State University United States of America
approximation algorithms
clustering algorithms
string 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
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Gara Pruesse
Vancouver Island University Canada
approximation algorithms
optimization algorithms
discrete algorithms
graph algorithms
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Nima Anari
Stanford University United States of America
sampling algorithms
algorithms
parallel algorithms
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Ivan Kryven
Utrecht University Netherlands
randomized algorithms
random approximation algorithms
stochastic analysis
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John Reif
Duke University Singapore
randomized algorithms
parallel algorithms
graph algorithms
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Eliezer Upfal
Brown University United States of America
randomized algorithms
analysis of algorithms
stochastic optimization
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Asish Mukhopadhyay
University of Windsor Canada
approximation algorithms
algorithms
graph algorithms
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Molei Tao
Georgia Institute of Technology United States of America
sampling
probabilistic machine learning
machine learning
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Inge Gørtz
Technical University of Denmark Denmark
approximation algorithms
algorithms
graph algorithms
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Tuğkan Batu
London School of Economics United Kingdom
randomized computation
algorithms
sublinear algorithms
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Mohamed Hibat-allah
University of Waterloo Canada
quantum-inspired algorithms
variational algorithms
machine learning
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Christian Coester
University of Oxford United Kingdom
learning-augmented algorithms
online algorithms
algorithms
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Chaitanya Swamy
University of Waterloo Canada
approximation algorithms
online algorithms
stochastic optimization
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Sahil Singla
Georgia Institute of Technology United States of America
online algorithms
algorithms
stochastic optimization
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Srinivasa Gummidi
University of Southern Denmark Denmark
online algorithms
algorithms
optimization algorithms
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Lene Favrholdt
University of Southern Denmark Denmark
on-line algorithms
algorithms
graph algorithms
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Weijun Xie
Georgia Institute of Technology United States of America
approximation algorithms
stochastic programming
machine learning
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