Machine Learning Theory Professors in Global

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Guido Montúfar
University of California Los Angeles United States of America
mathematical machine learning
deep learning
information theory
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Gerasimos Spanakis
Maastricht University Netherlands
machine learning
deep learning
computational modeling
neural networks
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Nicholas Rhinehart
University of Toronto Canada
machine learning
deep learning
information theory
imitation learning
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Mikhail Glazunov
Delft University of Technology Netherlands
deep learning
bayesian deep learning
probabilistic modeling
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Andrew Wilson
New York University United States of America
deep learning
generalization theory
machine learning and physics
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Fady Alajaji
Queen's University Canada
game theory
information theory
stochastic modelling
coding theory
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Guanyu Hu
Michigan State University United States of America
statistical theory
big data inference
bayesian computation
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Cai Kui
Singapore University of Technology and Design Singapore
machine learning
information theory
coding theory
communication theory
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Ayman Gh.
Australian National University Australia
machine learning algorithms
deep learning
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Long Zhang
University of Manchester United Kingdom
machine statistical learning
neural networks
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Agustinus Kristiadi
Western University Canada
probabilistic machine learning
deep learning
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Adji Dieng
Princeton University United States of America
statistical machine learning
computational theory
deep learning
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Wiktor Młynarski
Ludwig Maximilian University of Munich Germany
probabilistic machine learning
information theory
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Mehrdad Mahdavi
Pennsylvania State University United States of America
computational learning theory
statistical learning theory
large-scale machine learning
deep learning
computational statistical machine learning
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Johan Karlsson
KTH Royal Institute of Technology Sweden
systems theory
optimization theory
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Subham Sahoo
Aalborg University Denmark
probabilistic machine learning
scientific machine learning
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Frederic Schuller
University of Twente Netherlands
systems theory
quantum theory
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Martin Trapp
KTH Royal Institute of Technology Sweden
probabilistic machine learning
bayesian deep learning
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Frank Ortmann
Technical University of Munich Germany
theoretical modelling
quantum theory
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Jason Klusowski
Princeton University United States of America
deep learning
information theory
decision tree learning
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En-hui Yang
University of Waterloo Canada
deep learning
information theory
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