Reliability Algorithms Professors in Global

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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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Nicole Wein
University of Michigan United States of America
distance-estimation algorithms
online algorithms
dynamic algorithms
distributed algorithms
parameterized algorithms
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Kishor Trivedi
Duke University Singapore
reliability modeling
software reliability
performability modeling
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Srinivasa Gummidi
University of Southern Denmark Denmark
optimization algorithms
algorithms
online 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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Gara Pruesse
Vancouver Island University Canada
optimization algorithms
approximation algorithms
discrete algorithms
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Debarati Das
Pennsylvania State University United States of America
approximation algorithms
clustering algorithms
string algorithms
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Christian Coester
University of Oxford United Kingdom
algorithms
online algorithms
learning-augmented algorithms
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
genetic algorithms
parallel algorithms
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Nicklas Werge
University of Southern Denmark Denmark
optimization algorithms
online algorithms
machine learning
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
approximation algorithms
dynamic algorithms
sublinear algorithms
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Kishor Trivedi
Duke University Singapore
software reliability
reliability engineering
performability models
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
approximation algorithms
quantum algorithms
data stream algorithms
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Nima Anari
Stanford University United States of America
algorithms
sampling algorithms
parallel algorithms
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Mohammad Salavatipour
University of Alberta Canada
approximation algorithms
probabilistic randomized algorithms
algorithmics
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Stefanie Jegelka
Massachusetts Institute of Technology United States of America
optimization algorithms
robustness of machine learning algorithms
algorithmic machine learning
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Christopher Musco
New York University Tandon School of Engineering United States of America
randomized algorithms
theory of algorithms
scalable machine learning
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John Chinneck
Carleton University Canada
algorithms
concurrent algorithms
feasibility optimization
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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
robust stochastic optimization
machine learning
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Torsten Suel
New York University Tandon School of Engineering United States of America
algorithms
scalable information retrieval
experimental algorithmics
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Max Ward-graham
University of Western Australia Australia
algorithms
rna algorithms
machine learning
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