Bayesian Learning Professors in Global

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Mehrdad Mahdavi
Pennsylvania State University United States of America
computational learning theory
statistical learning theory
deep learning
large-scale machine learning
computational statistical machine learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
motor learning
perceptual learning
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Yee Teh
University of Oxford United Kingdom
bayesian statistics
probabilistic learning
bayesian nonparametrics
machine learning
deep learning
large scale machine learning
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Paulo Serra
Vrije Universiteit Amsterdam Netherlands
bayesian non-parametrics
empirical bayes
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Tim Steininger
Albert-Ludwigs-Universität Freiburg Germany
example-based learning
learning theories
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Nathan Srebro
University of Chicago United States of America
machine learning
statistical learning theory
probabilistic modeling
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Bryon Aragam
University of Chicago Booth School of Business United States of America
statistical learning theory
statistical machine learning
probabilistic modeling
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Christian Frier
Aalborg University Denmark
stochastic modeling
probabilistic modeling
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Irina Rish
University of Montreal Canada
machine learning
deep learning
biologically plausible reinforcement learning
probabilistic inference
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Ange Nyamen Tato
Laval University Canada
machine learning algorithms
learner behavior prediction
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Mara Freilich
Brown University United States of America
stochastic modeling
mathematical modeling
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Bruce Henry
University of New South Wales Australia
stochastic modeling
mathematical modeling
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Adelle Coster
University of New South Wales Australia
stochastic modeling
mathematical modeling
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Mathias Rysgaard
Aalborg University Denmark
predictive modeling
mathematical modeling
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Al Barr
California Institute of Technology United States of America
predictive modeling
mathematical modeling
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Sid Banerjee
Cornell University Netherlands
machine learning
stochastic modeling
learning-based recommendation systems
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Mats Granath
University of Gothenburg Sweden
deep machine learning
quantum machine learning
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Magnus Röding
Chalmers University of Technology Sweden
machine learning
stochastic modeling
statistical modeling
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Jonathan Shapiro
University of Manchester United Kingdom
machine learning
probabilistic modeling
reinforcement learning
evolutionary algorithms
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Sergio Albeverio
University of Bonn Germany
mathematical modeling
stochastic analysis
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Mathisca De Gunst
Vrije Universiteit Amsterdam Netherlands
stochastic modeling
mathematical models
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