Regression Professors in Global

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University of Sherbrooke Canada
No active positions
machine learning
deep learning
reinforcement learning
optimization
artificial intelligence
computer vision
decision-making
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Pascal Vincent
University of Montreal Canada
machine learning
neural networks
deep learning
pattern recognition
statistical models
representation learning
artificial intelligence
big data
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Alexander Rakhlin
Massachusetts Institute of Technology United States of America
machine learning
neural networks
reinforcement learning
statistics
optimization
statistical learning
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Gerasimos Spanakis
Maastricht University Netherlands
machine learning
neural networks
deep learning
data mining
computational modeling
information retrieval
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Tao Ma
University of Southern California United States of America
machine learning
statistics
predictive analytics
statistical
optimization
probability
data mining
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John Quilty
University of Waterloo Canada
machine learning
deep learning
forecasting
optimization
data mining
artificial intelligence
simulation
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D.m.j. Tax
Delft University of Technology Netherlands
machine learning
prediction
neural networks
pattern recognition
classification
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Brokoslaw Laschowski
University of Toronto Canada
machine learning
neural networks
deep learning
reinforcement learning
artificial intelligence
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Jason Lee
University of California, Berkeley United States of America
machine learning
deep learning
reinforcement learning
statistics
optimization
representation learning
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Jason Lee
University of California, Berkeley United States of America
machine learning
deep learning
reinforcement learning
statistics
optimization
representation learning
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John Doe
University of Wisconsin–Madison United States of America
machine learning
data analysis
predictive modeling
deep learning
artificial intelligence
computer vision
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Nicolas Le Roux
University of Montreal Canada
machine learning
neural networks
deep learning
statistical modeling
optimization
computer vision
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Tahereh Koohi
University of New South Wales Australia
machine learning
neural networks
deep learning
artificial intelligence
computer vision
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Hugo Larochelle
University of Montreal Canada
machine learning
neural networks
deep learning
artificial intelligence
computer vision
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Christian Dahl
University of Southern Denmark Denmark
quantile regression
machine learning
predictive analytics
artificial intelligence
computer vision
big data
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Kin-choong Yow
University of Regina Canada
machine learning
deep learning
pattern recognition
artificial intelligence
computer vision
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Maryam Fazel
University of Washington United States of America
machine learning
deep learning
reinforcement learning
optimization
artificial intelligence
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Ramandeep Randhawa
University of Southern California United States of America
machine learning
deep learning
analytics
artificial intelligence
stochastic modeling
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Seyran Khademi
Delft University of Technology Netherlands
machine learning
deep learning
statistics
optimization
computer vision
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Renjie Feng
University of Sydney Australia
machine learning
deep learning
statistics
probability
artificial intelligence
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Thaleia Zariphopoulou
University of Texas at Austin United States of America
machine learning
analytics
statistics
probability
artificial intelligence
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