Ensemble Machine Learning Professors in Global

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Geoff Webb
Monash University Australia
ensemble machine learning
machine learning
bayesian machine learning
interactive machine learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
machine learning
statistical machine learning
deep learning
representation learning
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Ferenc Huszár
University of Cambridge United Kingdom
machine learning
bayesian machine learning
deep learning
representation learning
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Kristen Grauman
University of Texas at Austin United States of America
machine learning
interactive machine learning
deep learning
machine perception
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Nicholas Rhinehart
University of Toronto Canada
machine learning
deep learning
imitation learning
robot learning
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Pascal Vincent
University of Montreal Canada
machine learning
deep learning
pattern recognition
representation learning
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Danica Sutherland
University of British Columbia Canada
machine learning
statistical machine learning
theoretical machine learning
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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Yisong Yue
California Institute of Technology United States of America
machine learning
statistical machine learning
structured machine learning
interactive machine learning
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Moez Ali
Queen's University Canada
machine learning
automated machine learning
automated modeling
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Linus Ericsson
University of Glasgow United Kingdom
machine learning
automated machine learning
representation learning
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Hina Shaheen
University of Manitoba Canada
machine learning
statistical machine learning
computational modelling
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Molei Tao
Georgia Institute of Technology United States of America
machine learning
probabilistic machine learning
deep learning theory
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Nathaniel Bastian
Pennsylvania State University United States of America
machine learning
federated machine learning
deep learning
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Tal Kachman
Radboud University Netherlands
machine learning
financial machine learning
deep learning
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Naveed Akhtar
University of Western Australia Australia
machine learning
adversarial machine learning
deep learning
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Kin-choong Yow
University of Regina Canada
machine learning
deep learning
pattern recognition
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Anil Bharath
Imperial College London United Kingdom
machine learning
deep learning
pattern recognition
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George Azzopardi
University of Groningen Netherlands
machine learning
deep learning
pattern recognition
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Vishnu Boddeti
Michigan State University United States of America
machine learning
deep learning
pattern recognition
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Thomas Fevens
Concordia University Canada
machine learning
deep learning
pattern recognition
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