Tree Algorithms Professors in Global

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Nicole Wein
University of Michigan United States of America
online algorithms
graph algorithms
dynamic algorithms
distributed algorithms
parameterized algorithms
distance-estimation algorithms
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Michael Chen
York University Canada
large scale optimization
deep learning
stochastic optimization
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Nicolas Loizou
Johns Hopkins University United States of America
machine learning
large-scale optimization
deep learning
distributed decentralized algorithms
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Siamak Mehrkanoon
Utrecht University Netherlands
numerical algorithms
neural networks
deep learning
pattern recognition
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Pascal Vincent
University of Montreal Canada
algorithmics
machine learning
neural networks
deep learning
pattern recognition
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Matthew Daggitt
University of Western Australia Australia
distributed algorithms
neural networks
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Kitty Meeks
University of Glasgow United Kingdom
parameterized algorithms
algorithm design
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Aditya Potukuchi
York University Canada
algorithms
algorithmic sampling
algorithmic counting
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Susanne Albers
Technical University of Munich Germany
efficient algorithms
algorithm engineering
online approximation algorithms
algorithmic game theory
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Pieter Kleer
Tilburg University Netherlands
online approximation algorithms
algorithmic game theory
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Ard Louis
University of Oxford United Kingdom
algorithmic information theory
deep learning
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Simge Küçükyavuz
Northwestern University United States of America
large-scale optimization
network optimization
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Neil Olver
London School of Economics United Kingdom
algorithmic game theory
network optimization
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Emma Xue
Macquarie University Australia
pattern mining
deep learning
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Chuan He
Linköping University Sweden
machine learning
large-scale optimization
deep learning
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Qixing Huang
University of Texas at Austin United States of America
machine learning
large-scale optimization
deep learning
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Kalinda Ukanwa
University of Southern California United States of America
algorithmic decision-making
algorithmic bias
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Kiefer
Technical University of Berlin Germany
approximation algorithms
graph algorithms
algorithmic game theory
mathematical optimization
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Edoardo Manino
University of Manchester United Kingdom
algorithmic game theory
theoretical machine learning
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Morteza Esmaeili
University of Victoria Canada
linear optimization
iterative decoding algorithms
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Shuchi Chawla
University of Texas at Austin United States of America
algorithmic game theory
approximation online algorithms
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