Provable Algorithms Professors in Global

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Gara Pruesse
Vancouver Island University Canada
approximation algorithms
optimization algorithms
discrete 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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Dana Moshkovitz
University of Texas at Austin United States of America
probabilistically checkable proofs
approximation algorithms
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Mark Schmidt
University of British Columbia Canada
provable convergence rates
faster algorithms
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Felix Weilacher
University of California, Berkeley United States of America
computable combinatorics
measurable combinatorics
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Matthias Becker
KTH Royal Institute of Technology Sweden
probabilistic programming
predictable timing behavior
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Romaric Duvignau
University of Gothenburg Sweden
discovery algorithms
consensus algorithms
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Tom Rainforth
University of Oxford United Kingdom
probabilistic programming
approximate inference
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Retsef Levi
Massachusetts Institute of Technology United States of America
approximation algorithms
data-driven algorithms
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Debarati Das
Pennsylvania State University United States of America
approximation algorithms
string algorithms
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
approximation algorithms
quantum algorithms
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Zachary Friggstad
University of Alberta Canada
approximation algorithms
algorithmics
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Mohammad Salavatipour
University of Alberta Canada
probabilistic randomized algorithms
approximation algorithms
algorithmics
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
genetic algorithms
parallel algorithms
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Stefanie Jegelka
Massachusetts Institute of Technology United States of America
optimization algorithms
robustness of machine learning algorithms
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Beidi Chen
Carnegie Mellon University United States of America
algorithm optimization
efficient machine learning
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Pranav Bapat
Maastricht University Netherlands
search algorithms
scalable ai architectures
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Yue Zhao
University of Southern California United States of America
reliable ai systems
scalable ai systems
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Sebastiaan Terwijn
Radboud University Netherlands
probabilistic logic
computability complexity theory
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Yalan Song
Pennsylvania State University United States of America
predictive modeling
differentiable modeling
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Guang Lin
Purdue University United States of America
predictive modeling
reliable ai
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