Randomised Algorithms Professors in Global

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Nicole Wein
University of Michigan United States of America
parameterized algorithms
distributed algorithms
online algorithms
dynamic algorithms
distance-estimation algorithms
graph algorithms
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Michael Mitzenmacher
Harvard John Paulson School of Engineering and Applied Sciences United States of America
computer algorithms
random processes
machine learning
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Max Ward-graham
University of Western Australia Australia
algorithms
rna algorithms
machine learning
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Graham Farr
Monash University Australia
algorithms
enumeration algorithm
graph algorithms
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Tuğkan Batu
London School of Economics United Kingdom
randomized computation
algorithms
sublinear algorithms
streaming algorithms
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Jon Kleinberg
Cornell University Netherlands
algorithms
machine learning
algorithmic fairness
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Elad Hazan
Princeton University United States of America
algorithms
machine learning
stochastic optimization
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Viswanath Nagarajan
University of Michigan United States of America
algorithms
machine learning
stochastic optimization
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Sharan Vaswani
Simon Fraser University Canada
algorithms
machine learning
stochastic optimization
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Yun Cheung
Australian National University Australia
algorithms
machine learning
stochastic analysis
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Nicolas Loizou
Johns Hopkins University United States of America
distributed decentralized algorithms
randomized numerical linear algebra
machine learning
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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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Sigurd Assing
University of Warwick United Kingdom
random processes
machine learning
stochastic analysis
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Eilyan Bitar
Cornell University Netherlands
environment algorithms
machine learning
robust stochastic optimization
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Michał Dereziński
University of Michigan United States of America
randomized numerical linear algebra
machine learning
stochastic optimization
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Longxiu Huang
Michigan State University United States of America
random matrix analysis
random tensor analysis
machine learning
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Xiucai Ding
University of California, Davis United States of America
randomized numerical linear algebra
applied random matrix theory
stochastic optimization
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Ivan Kryven
Utrecht University Netherlands
randomized algorithms
random approximation algorithms
random matrices
random graph representation
stochastic analysis
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Debdeep Pati
University of Wisconsin–Madison United States of America
fair algorithms
real-time tracking algorithms
machine learning
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Holger Hoos
RWTH Aachen University Germany
automated machine learning
machine learning
automated reasoning
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Christian Schulz
Heidelberg University Germany
algorithm engineering
machine learning
scalable graph algorithms
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