Randomization Professors in Global

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University of Sherbrooke Canada
No active positions
machine learning
algorithms
automation
robotics
deep learning
artificial intelligence
optimization
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Ivan Kryven
Utrecht University Netherlands
randomized algorithms
random matrices
random graph representation
random approximation algorithms
stochastic analysis
probability
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Pascal Vincent
University of Montreal Canada
machine learning
neural networks
pattern recognition
algorithmics
deep learning
artificial intelligence
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John Quilty
University of Waterloo Canada
machine learning
simulation
data mining
deep learning
artificial intelligence
optimization
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Laurence Frank
Utrecht University Netherlands
randomized response
machine learning
predictive modelling
programming
statistical learning
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Satish Thittamaranahalli
University of Southern California United States of America
approximation randomization
machine learning
robotics
artificial intelligence
probabilistic reasoning
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Jeff Bilmes
University of Washington United States of America
machine learning
speech recognition
statistical modeling
signal processing
artificial intelligence
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Pascal Frossard
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
signal processing
artificial intelligence
network machine learning
optimization
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David Poole
University of British Columbia Canada
machine learning
robotics
artificial intelligence
probabilistic reasoning
automated reasoning
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John Oommen
Carleton University Canada
neural networks
pattern recognition
stochastic learning
statistical pattern recognition
artificial intelligence
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Nicolas Le Roux
University of Montreal Canada
machine learning
neural networks
statistical modeling
deep learning
optimization
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Fotios Kokkotos
Boston University United States of America
machine learning
sampling theory
stochastic processes
data mining
deep learning
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Amirali Aghazadeh Mohandesi
Georgia Institute of Technology United States of America
machine learning
signal processing
deep learning
artificial intelligence
optimization
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Peter Mcmahon
Cornell University Netherlands
machine learning
algorithms
artificial intelligence
optimization
statistical learning
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Holger Hoos
RWTH Aachen University Germany
machine learning
automated machine learning
artificial intelligence
optimization
automated reasoning
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Jeff Bilmes
University of Washington United States of America
machine learning
speech recognition
statistical modeling
signal processing
artificial intelligence
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Mogana Ganggayah
Monash University Australia
machine learning
random forests
predictive modeling
data mining
deep learning
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Jose Figueroa-lopez
Purdue University United States of America
stochastic analysis
probability
simulation
stochastic processes
stochastic control
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A.c.c. Coolen
Radboud University Netherlands
random networks
machine learning
neural networks
stochastic processes
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Monika Eisenmann
Lund University Sweden
randomized algorithms
machine learning
stochastic numerical analysis
numerical approximation
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Anna Gilbert
Yale University United States of America
randomized algorithms
probability
algorithms
signal processing
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