Backtracking Algorithms Professors in Global

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Nicole Wein
University of Michigan United States of America
distance-estimation algorithms
online algorithms
dynamic algorithms
parameterized algorithms
distributed algorithms
graph algorithms
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Marc Renault
University of Wisconsin United States of America
approximation algorithms
search algorithms
online algorithms
offline algorithms
analysis of algorithms
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Pranav Bapat
Maastricht University Netherlands
search algorithms
machine learning
deep learning
information retrieval
backend engineering
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Nicolas Loizou
Johns Hopkins University United States of America
randomized algorithms
decentralized algorithms
machine learning
large-scale optimization
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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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Gara Pruesse
Vancouver Island University Canada
approximation algorithms
discrete algorithms
optimization 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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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
approximation algorithms
quantum algorithms
data stream algorithms
graph algorithms
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Iadh Ounis
University of Glasgow United Kingdom
machine learning
deep learning
information retrieval
big data information retrieval
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Nicolas Loizou
Johns Hopkins University United States of America
machine learning
deep learning
distributed decentralized algorithms
large-scale optimization
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Nima Anari
Stanford University United States of America
sampling algorithms
algorithms
parallel algorithms
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Varun Kanade
University of Oxford United Kingdom
randomised algorithms
algorithms
deep learning
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Debdeep Pati
University of Wisconsin–Madison United States of America
real-time tracking algorithms
machine learning
fair algorithms
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George Papavassilopoulos
University of Southern California United States of America
parallel algorithms
genetic algorithms
optimization algorithms
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Asish Mukhopadhyay
University of Windsor Canada
approximation algorithms
algorithms
graph algorithms
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John Reif
Duke University Singapore
randomized algorithms
parallel algorithms
graph algorithms
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Srinivasa Gummidi
University of Southern Denmark Denmark
algorithms
online algorithms
optimization algorithms
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Christian Coester
University of Oxford United Kingdom
algorithms
online algorithms
learning-augmented algorithms
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Inge Gørtz
Technical University of Denmark Denmark
approximation algorithms
algorithms
graph algorithms
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Anupam Gupta
New York University United States of America
approximation algorithms
algorithms
algorithms in uncertain environments
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Aditya Potukuchi
York University Canada
algorithms
algorithmic sampling
algorithmic counting
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