Complex Random Vectors Professors in Global

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Zhou Zhang
University of Sydney Australia
complex variables
complex differential geometry
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Bastien Chopard
University of Geneva Switzerland
complex networks
computational modeling
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Melike Alper
University of Southampton United Kingdom
complex parameters
modelling complex survey data
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Daren Cline
Texas A&M University United States of America
heavy-tailed random variables
dynamic random networks
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Lijie Chen
University of California, Berkeley United States of America
computational complexity theory
quantum computational complexity
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Anisoara Calinescu
University of Oxford United Kingdom
complex networked systems
prediction in complex systems
complexity metrics
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Carsten Bergenholtz
Aarhus University Denmark
complex interactions
computational modeling
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Ivan Kryven
Utrecht University Netherlands
random matrices
randomized algorithms
random approximation algorithms
random graph representation
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Ravi Radhakrishnan
University of Pennsylvania United States of America
complex fluids
computational algorithms
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Andreas Galanis
University of Oxford United Kingdom
randomized algorithms
complexity theory
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Leslie Goldberg
University of Oxford United Kingdom
randomized algorithms
complexity theory
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Tim Kunisky
Johns Hopkins University United States of America
computational complexity
random tensors
random matrix theory
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Varun Kanade
University of Oxford United Kingdom
randomised algorithms
complexity theory
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William Fitzgerald
University of Manchester United Kingdom
random matrix theory
random growth models
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Joel Tropp
California Institute of Technology United States of America
random matrix theory
randomized linear algebra
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Yingli Qin
University of Waterloo Canada
random matrix theory
large dimensional covariance matrices
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Mingyuan Zhou
University of Texas at Austin United States of America
probabilistic machine learning
deep neural networks
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Scott Schmidler
Duke University Singapore
probabilistic machine learning
high-dimensional sampling algorithms
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Charbel Farhat
Stanford University United States of America
probabilistic machine learning
computational algorithms
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Bryon Aragam
University of Chicago Booth School of Business United States of America
probabilistic modeling
deep generative models
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
probabilistic multi-scale modeling
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