Random Sampling Professors in Global

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Matthias Winkel
University of Oxford United Kingdom
random hierarchies
random trees
random partitions
tree-valued random processes
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Ivan Kryven
Utrecht University Netherlands
randomized algorithms
random matrices
random graph representation
random approximation algorithms
stochastic analysis
probability
percolation problems in random environments
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Aijun Author
York University Canada
pattern mining
machine learning
clustering
data mining
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Aijun Author
York University Canada
pattern mining
machine learning
clustering
data mining
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Guillaume Conchon--kerjan
King's College London United Kingdom
random environment
random trees
random walks
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Jan Ambjørn
University of Copenhagen Denmark
random paths
random surfaces
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David Zuckerman
University of Texas at Austin United States of America
randomness extraction
pseudorandomness
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Pu Yu
New York University United States of America
random geometry
random planar maps
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Takashi Owada
Purdue University United States of America
random topology
random graph theory
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Sergey Ponomarenko
Dalhousie University Canada
random lasers
random walks
extreme random events
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Jakob Björnberg
University of Gothenburg Sweden
random recursive trees
random planar maps
stochastic processes
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Christina Goldschmidt
University of Oxford United Kingdom
random trees
random discrete structures
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Gregory Sorkin
London School of Economics and Political Science United Kingdom
randomized optimization
discrete random systems
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Michael Griebel
University of Bonn Germany
random fields
numerical approximation
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Xinran Li
University of Chicago United States of America
randomization-based inference
rerandomization
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Mogana Ganggayah
Monash University Australia
random forests
machine learning
predictive modeling
data mining
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Morris Ang
University of California, San Diego United States of America
random planar maps
random conformal geometry
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Biplab Sanyal
Uppsala University Sweden
random alloys
clustering
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Daren Cline
Texas A&M University United States of America
dynamic random networks
heavy-tailed random variables
stochastic processes
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Wei-biao Wu
University of Chicago United States of America
dependent random variables
regression
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John Lau
University of Western Australia Australia
statistical filtering
statistical clustering
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