Trustworthy Machine Learning Professors in Global

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Saikat Chatterjee
Royal Institute of Technology Sweden
statistical machine learning
explainable machine learning
deep learning
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Adji Dieng
Princeton University United States of America
statistical machine learning
deep learning
probabilistic modeling
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Jethro Linley
University of Glasgow United Kingdom
statistical machine learning
predictive analytics
statistical modelling
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Fani Deligianni
University of Glasgow United Kingdom
statistical machine learning
deep learning
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Julian Kooij
Delft University of Technology Netherlands
statistical machine learning
deep learning
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Tsu-pei Chiu
University of Southern California United States of America
statistical machine learning
deep learning
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
statistical machine learning
machine learning
deep learning
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Tom Rainforth
University of Oxford United Kingdom
statistical machine learning
deep learning
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Adji Dieng
Princeton University United States of America
statistical machine learning
deep learning
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Lei Ding
University of Manitoba Canada
statistical machine learning
deep learning
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Alexandre Bouchard-côté
University of British Columbia Canada
statistical machine learning
probabilistic modelling
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
machine learning
computational modelling
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
statistical machine learning
scalable computation
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Bryon Aragam
University of Chicago Booth School of Business United States of America
statistical machine learning
probabilistic modeling
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Linda Zhao
University of Pennsylvania United States of America
statistical machine learning
data-driven decision-making
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Madlene Nussbaum
Utrecht University Netherlands
statistical machine learning
predictive mapping
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Karthik Pattabiraman
University of British Columbia Canada
dependable software
reliable computing systems
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Fotios Kokkotos
Boston University United States of America
machine learning
deep learning
predictive analytics
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Andrew Loza
Yale University United States of America
predictive analytics
statistical deep learning
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Glen Urban
Massachusetts Institute of Technology United States of America
machine learning
deep learning
trust-based marketing
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Mårten Wadenbäck
Linköping University Sweden
machine learning
deep learning
robust feature matching
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