Online Learning Algorithms Professors in Global

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Marc Renault
University of Wisconsin United States of America
online algorithms
offline algorithms
search algorithms
streaming algorithms
approximation algorithms
analysis of algorithms
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Nicole Wein
University of Michigan United States of America
online algorithms
dynamic algorithms
distance-estimation algorithms
distributed algorithms
parameterized algorithms
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Sahil Singla
Georgia Institute of Technology United States of America
online algorithms
online learning
algorithms
algorithmic game theory
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
online learning
machine learning
neural networks
statistical learning
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Tahereh Koohi
University of New South Wales Australia
evolutionary algorithms
machine learning
deep learning
neural networks
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Brokoslaw Laschowski
University of Toronto Canada
brain-inspired algorithms
machine learning
deep learning
neural networks
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Yee Teh
University of Oxford United Kingdom
machine learning
probabilistic learning
deep learning
large scale machine learning
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Pascal Vincent
University of Montreal Canada
machine learning
deep learning
algorithmics
neural networks
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Adam Wierman
California Institute of Technology United States of America
online algorithms
online learning
online optimization
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Christian Coester
University of Oxford United Kingdom
online algorithms
learning-augmented algorithms
algorithms
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Srinivasa Gummidi
University of Southern Denmark Denmark
online algorithms
algorithms
optimization algorithms
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Nicklas Werge
University of Southern Denmark Denmark
online algorithms
optimization algorithms
machine learning
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Chaitanya Swamy
University of Waterloo Canada
online algorithms
approximation algorithms
algorithmic game theory
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Avrim Blum
Toyota Technological Institute Chicago United States of America
online algorithms
machine learning
algorithmic game theory
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Sepehr Assadi
University of Waterloo Canada
online algorithms
sublinear algorithms
algorithmic game theory
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Susanne Albers
Technical University of Munich Germany
online approximation algorithms
efficient algorithms
algorithmic game theory
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Ayman Gh.
Australian National University Australia
machine learning algorithms
deep learning
ranking preference learning
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Ashok Cutkosky
Boston University United States of America
optimization algorithms
adaptive online learning
machine learning
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Yoshua Bengio
University of Montreal Canada
statistical learning algorithms
machine learning
deep learning
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Santosh Vempala
Georgia Institute of Technology United States of America
algorithms
randomized algorithms
computational learning theory
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
online learning
machine learning
statistical learning
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