Randomized Response Professors in Global

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Ivan Kryven
Utrecht University Netherlands
randomized algorithms
random matrices
random graph representation
stochastic analysis
random approximation algorithms
probability
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A.c.c. Coolen
Radboud University Netherlands
random networks
machine learning
neural networks
stochastic processes
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Oanh Nguyen
Brown University United States of America
random graphs
random polynomials
probability
stochastic processes
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Mogana Ganggayah
Monash University Australia
random forests
machine learning
predictive modeling
deep learning
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John Oommen
Carleton University Canada
pattern recognition
stochastic learning
statistical pattern recognition
neural networks
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Pascal Vincent
University of Montreal Canada
machine learning
pattern recognition
neural networks
deep learning
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Laurence Frank
Utrecht University Netherlands
randomized response
machine learning
predictive modelling
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Leo Benatar
Georgia Institute of Technology United States of America
randomized algorithms
random graphs
stochastic processes
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Nicolas Loizou
Johns Hopkins University United States of America
randomized algorithms
randomized numerical linear algebra
machine learning
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Gérard Ben Arous
New York University United States of America
random media
random matrices
stochastic analysis
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Gérard Ben Arous
New York University United States of America
random media
random matrices
stochastic analysis
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Monika Eisenmann
Lund University Sweden
randomized algorithms
machine learning
stochastic numerical analysis
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Sigurd Assing
University of Warwick United Kingdom
random processes
stochastic analysis
machine learning
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Pierre Tarres
New York University Shanghai China
random processes
reinforced random walks
stochastic algorithms
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Dmitry Belyaev
University of Oxford United Kingdom
random functions
random growth models
probability
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Michał Dereziński
University of Michigan United States of America
randomized numerical linear algebra
random matrix theory
machine learning
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Antti Knowles
University of Geneva Switzerland
random graphs
random matrices
stochastic processes
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Longxiu Huang
Michigan State University United States of America
random tensor analysis
random matrix analysis
machine learning
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Ton Dieker
Columbia University United States of America
random processes
stochastic networks
predictive modeling
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Matthias Winkel
University of Oxford United Kingdom
random hierarchies
tree-valued random processes
random trees
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Jakob Björnberg
University of Gothenburg Sweden
random recursive trees
random planar maps
stochastic processes
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