Random Sampling Professors in Global

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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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Laurence Frank
Utrecht University Netherlands
randomized response
machine learning
predictive modelling
resampling techniques
text mining
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Lyle Ungar
University of Pennsylvania United States of America
machine learning
information extraction
clustering
text mining
data mining
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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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Molei Tao
Georgia Institute of Technology United States of America
sampling
machine learning
probabilistic machine learning
generative modeling
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Oanh Nguyen
Brown University United States of America
random graphs
random polynomials
probability
stochastic processes
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A.c.c. Coolen
Radboud University Netherlands
random networks
machine learning
statistical inference
stochastic processes
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Monika Eisenmann
Lund University Sweden
randomized algorithms
machine learning
stochastic numerical analysis
numerical approximation
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Mogana Ganggayah
Monash University Australia
random forests
machine learning
predictive modeling
data mining
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Asokan Variyath
Memorial University of Newfoundland Canada
sampling techniques
machine learning
variable selection
empirical likelihood
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Fotios Kokkotos
Boston University United States of America
sampling theory
machine learning
stochastic processes
data mining
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Nazim Khan
University of Western Australia Australia
stochastic modelling
probability
statistical clustering
statistical model selection
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Jose Figueroa-lopez
Purdue University United States of America
stochastic analysis
probability
simulation
stochastic processes
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Christian Maack
Aalborg University Denmark
stochastic modelling
machine learning
anomaly detection
simulation
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Magnus Röding
Chalmers University of Technology Sweden
stochastic modeling
machine learning
simulation
statistical modeling
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Alejandro Murua
University of Montreal Canada
probability
machine learning
data mining
signal processing
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Aijun Author
York University Canada
pattern mining
machine learning
clustering
data mining
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Gal Mishne
University of California, San Diego United States of America
machine learning
anomaly detection
clustering
signal processing
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Guillaume Conchon--kerjan
King's College London United Kingdom
random environment
random trees
random walks
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Gérard Ben Arous
New York University United States of America
random media
random matrices
stochastic analysis
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Leo Benatar
Georgia Institute of Technology United States of America
random graphs
randomized algorithms
stochastic processes
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