Predictive Machine Learning Algorithms Professors in Global

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Varun Kanade
University of Oxford United Kingdom
randomised algorithms
computational learning
algorithms
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning algorithms
machine learning
machine learning theory
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
prediction modeling
machine learning
prediction error estimation
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Jonathan Shapiro
University of Manchester United Kingdom
machine learning
probabilistic modeling
evolutionary algorithms
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Nick Harvey
University of British Columbia Canada
theoretical machine learning
algorithms
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Christian Coester
University of Oxford United Kingdom
learning-augmented algorithms
algorithms
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Peter Gallant
Queen's University Canada
evolutionary algorithms
artificial neural networks
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Cara Macnish
University of Western Australia Australia
machine learning
evolutionary algorithms
artificial neural networks
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Matthias Becker
KTH Royal Institute of Technology Sweden
predictable timing behavior
probabilistic programming
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P.a.n. Bosman
Delft University of Technology Netherlands
evolutionary algorithms
genetic algorithms
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Boris Rubinsky
University of California, Berkeley United States of America
evolutionary algorithms
genetic algorithms
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Tarek Hegazi
University of Waterloo Canada
evolutionary algorithms
genetic algorithms
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Christian Jacob
University of Calgary Canada
evolutionary algorithms
genetic algorithms
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Vincenzo Lipardi
Maastricht University Netherlands
evolutionary algorithms
quantum machine learning
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Lisa Hellerstein
New York University Tandon School of Engineering United States of America
machine learning theory
stochastic combinatorial optimization
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Xiaohua Huang
University of California, San Diego United States of America
deep machine learning
computational modeling
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Michael Herbst
École Polytechnique Fédérale de Lausanne Switzerland
algorithmic differentiation
prediction of molecular properties
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Uwe Naumann
RWTH Aachen University Germany
algorithmic differentiation
numerical algorithms
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David Brainard
University of Pennsylvania United States of America
computational modeling
machine vision
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Mats Granath
University of Gothenburg Sweden
deep machine learning
quantum machine learning
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Romaric Duvignau
University of Gothenburg Sweden
consensus algorithms
discovery algorithms
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