Stochastic Network Theory Professors in Global

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Nick Whiteley
University of Bristol United Kingdom
high-dimensional dynamic stochastic systems
probabilistic modelling
statistical inference
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Mung Chiang
Purdue University United States of America
network economics
social learning networks
network optimization
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Eric Xing
Carnegie Mellon University United States of America
statistical learning
probabilistic modeling
machine learning
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Jayadev Acharya
Cornell University Netherlands
statistical learning
algorithmic information theory
machine learning
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Mihai Cucuringu
University of California Los Angeles United States of America
statistical learning
network analysis
machine learning
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
statistical learning
neural networks
machine learning
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Nicolas Bourguignon
RWTH Aachen University Germany
statistical learning
neural networks
machine learning
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Barbara Bravi
Imperial College London United Kingdom
biological networks
statistical inference
machine learning
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Balaji Prabhakar
Stanford University United States of America
stochastic network theory
network algorithms
data networks
probability theory
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Jaime Llorca
New York University Tandon School of Engineering United States of America
network algorithms
network optimization
machine learning
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Pascal Vincent
University of Montreal Canada
statistical models
neural networks
machine learning
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Mark De Rooij
Leiden University Netherlands
statistical learning
data theory
machine learning
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Konstantin Zuev
California Institute of Technology United States of America
network models
network dynamics
complex networks
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Konstantin Zuev
California Institute of Technology United States of America
network models
network dynamics
complex networks
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Mert Sabuncu
Cornell University Netherlands
probabilistic modeling
statistical inference
machine learning
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Mahdi Khodayar
The University of Tulsa Iran
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statistical pattern recognition
deep neural networks
machine learning
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Christopher Brinton
Purdue University United States of America
social learning networks
network optimization
machine learning
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Yeganeh Alimohammadi
University of Southern California United States of America
network analysis
statistical inference
machine learning
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A.c.c. Coolen
Radboud University Netherlands
stochastic processes
random networks
neural networks
statistical inference
machine learning
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Nikolai Kühne
Aalborg University Denmark
neural networks
sequence modelling
machine learning
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Hamed Hassani
University of Pennsylvania United States of America
neural networks
probabilistic models
machine learning
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