Online Statistical Machine Learning Algorithms Professors in Global

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Marc Renault
University of Wisconsin United States of America
online algorithms
offline algorithms
streaming algorithms
search algorithms
approximation algorithms
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Nicole Wein
University of Michigan United States of America
online algorithms
distance-estimation algorithms
dynamic algorithms
distributed algorithms
parameterized algorithms
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Berwin Turlach
University of Western Australia Australia
machine learning
statistical computing
statistical learning
computational statistics
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Adam Wierman
California Institute of Technology United States of America
online algorithms
online optimization
online learning
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Adam Wierman
California Institute of Technology United States of America
online algorithms
online optimization
online learning
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Adam Wierman
California Institute of Technology United States of America
online algorithms
online optimization
online learning
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Nicklas Werge
University of Southern Denmark Denmark
online algorithms
optimization algorithms
machine learning
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Srinivasa Gummidi
University of Southern Denmark Denmark
online algorithms
optimization algorithms
algorithms
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Christian Coester
University of Oxford United Kingdom
online algorithms
learning-augmented algorithms
algorithms
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Sahil Singla
Georgia Institute of Technology United States of America
online algorithms
algorithms
online learning
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Danica Sutherland
University of British Columbia Canada
statistical machine learning
theoretical machine learning
machine learning
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Stephen Bach
Brown University United States of America
statistical machine learning
machine learning
statistical relational learning
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Yisong Yue
California Institute of Technology United States of America
statistical machine learning
machine learning
structured machine learning
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Purnamrita Sarkar
University of Texas at Austin United States of America
statistical machine learning
scalable inference algorithms
statistical models
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning algorithms
machine learning
machine learning theory
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Patrick Jaillet
Massachusetts Institute of Technology United States of America
online optimization learning
machine learning
algorithms
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Chunlei Zheng
Boston University United States of America
computational algorithms
machine learning
statistical modeling
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Jayadev Acharya
Cornell University Netherlands
algorithmic information theory
machine learning
statistical learning
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Nick Harvey
University of British Columbia Canada
theoretical machine learning
algorithms
statistical learning
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Tuğkan Batu
London School of Economics United Kingdom
streaming algorithms
algorithms
sublinear algorithms
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Debarati Das
Pennsylvania State University United States of America
clustering algorithms
string algorithms
approximation algorithms
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