Stochastic Information Processing Professors in Global

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Raman Arora
Johns Hopkins University United States of America
statistical signal processing
stochastic approximation algorithms
machine learning
language processing
speech processing
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Harold Kushner
Brown University United States of America
stochastic networks
stochastic systems theory
stochastic control
complex stochastic systems
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Gareth Roberts
University of Warwick United Kingdom
stochastic processes
stochastic simulation
stochastic differential equations
statistical inference
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Frederi Viens
Michigan State University United States of America
stochastic control
nonlinear stochastic filtering
stochastic volatility
stochastic pdes
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Monika Eisenmann
Lund University Sweden
stochastic numerical analysis
stochastic differential equations
randomized algorithms
machine learning
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Oleg Michailovich
University of Waterloo Canada
statistical signal processing
signal processing
geometric image processing
image processing
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Jeff Bilmes
University of Washington United States of America
statistical modeling
signal processing
machine learning
language processing
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Pierre Vandergheynst
École Polytechnique Fédérale de Lausanne Switzerland
mathematical data processing
signal processing
machine learning
image processing
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Xiaohao Cai
University of Southampton United Kingdom
data processing
signal processing
machine learning
image processing
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Jeff Bilmes
University of Washington United States of America
statistical modeling
signal processing
machine learning
language processing
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Sanjeev Kulkarni
Princeton University United States of America
statistical pattern recognition
signal processing
machine learning
image processing
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Kavita Ramanan
Brown University United States of America
stochastic processes
stochastic analysis
stochastic networks
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Jose Figueroa-lopez
Purdue University United States of America
stochastic processes
stochastic analysis
stochastic control
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David Landriault
University of Waterloo Canada
stochastic processes
stochastic modelling
stochastic control problems
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Ingemar Kaj
Uppsala University Sweden
stochastic processes
stochastic models
stochastic dynamics
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Anastasiia Olshevska
Technical University of Berlin Germany
stochastic processes
stochastic analysis
mathematical stochastics
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Richard Serfozo
Georgia Institute of Technology United States of America
stochastic processes
stochastic networks
optimization of stochastic systems
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Markus Riedle
King's College London United Kingdom
stochastic processes
stochastic analysis
stochastic differential equations
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William Massey
Princeton University United States of America
stochastic analysis
stochastic networks
stochastic dominance
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Nasser Barjesteh
University of Toronto Canada
stochastic modeling
stochastic control
complex stochastic systems
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Lin Fan
Northwestern University United States of America
stochastic processes
stochastic simulation
statistical inference
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