Tensor Factorization Professors in Global

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Jaime Ide
Yale University United States of America
machine learning
pattern recognition
theoretical modeling
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Nima Anari
Stanford University United States of America
machine learning
randomized algorithms
combinatorial optimization
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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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Merve Bodur
University of Edinburgh United Kingdom
machine learning
stochastic programming
combinatorial optimization
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Merve Bodur
University of Edinburgh United Kingdom
machine learning
stochastic programming
combinatorial optimization
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Anshul Thakur
University of Oxford United Kingdom
tensor factorization
machine learning
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Anshul Thakur
University of Oxford United Kingdom
tensor factorization
machine learning
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Longxiu Huang
Michigan State University United States of America
tensor analysis
machine learning
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Kaixin Liu
London School of Economics and Political Science United Kingdom
tensor time series
machine learning
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Zeynep Gundogar
Aalborg University Denmark
tensor decomposition
machine learning
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Elina Robeva
University of British Columbia Canada
tensor decomposition
machine learning
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Zetai Cen
London School of Economics and Political Science United Kingdom
tensor time series
factor models
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Elizaveta Rebrova
Princeton University United States of America
matrix tensor methods
randomized algorithms
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Elizaveta Rebrova
Princeton University United States of America
matrix tensor methods
randomized algorithms
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Andersen Ang
University of Southampton United Kingdom
nonnegative matrix factorization
machine learning
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Jacek Gondzio
University of Edinburgh United Kingdom
sparse matrix factorization
linear programming
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Jacek Gondzio
University of Edinburgh United Kingdom
sparse matrix factorization
linear programming
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Pedro Ferreira
Imperial College London United Kingdom
diffusion tensor imaging
machine learning
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Danica Sutherland
University of British Columbia Canada
machine learning
theoretical machine learning
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Yaoliang Yu
University of Waterloo Canada
machine learning
generative modelling
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Christoffer Nellåker
University of Oxford United Kingdom
machine learning
computational phenotyping
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