Randomized Quantum 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
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Marc Renault
University of Wisconsin United States of America
approximation algorithms
online algorithms
search algorithms
analysis of algorithms
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Eilyan Bitar
Cornell University Netherlands
environment algorithms
robust stochastic optimization
machine learning
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Ermin Wei
Northwestern University United States of America
asynchronous algorithms
distributed optimization algorithms
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Kim Skak Larsen
University of Southern Denmark Denmark
online algorithms
algorithmics
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Scott Schmidler
Duke University Singapore
high-dimensional sampling algorithms
probabilistic machine learning
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Quan Zhou
Texas A&M University United States of America
iterative algorithms
stochastic optimization
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Petar Kormushev
Imperial College London United Kingdom
robot learning algorithms
machine learning
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Raaz Dwivedi
Cornell University Netherlands
random sampling
statistical machine learning
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Sherrie Wang
Massachusetts Institute of Technology United States of America
data computational algorithms
machine learning
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Eric Sobel
University of California Los Angeles United States of America
algorithm optimization
gene-mapping algorithms
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Nicklas Werge
University of Southern Denmark Denmark
online algorithms
optimization algorithms
machine learning
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Moise Blanchard
Georgia Institute of Technology United States of America
online algorithms
machine learning
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Debankur Mukherjee
Georgia Institute of Technology United States of America
online algorithms
machine learning
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Avrim Blum
Toyota Technological Institute Chicago United States of America
online algorithms
machine learning
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Sahil Singla
Georgia Institute of Technology United States of America
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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Chaitanya Swamy
University of Waterloo Canada
approximation algorithms
online algorithms
stochastic optimization
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Sigurd Assing
University of Warwick United Kingdom
random processes
machine learning
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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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Corey Snyder
University of Illinois United States of America
ai algorithms
machine learning
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