Large Covariance Matrices Professors in Global

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Lei Ying
University of Michigan United States of America
large-scale computing systems
large-scale graph mining
large-scale communication systems
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Giovanni Motta
Columbia University United States of America
high-dimensional stochastic processes
multivariate analysis
matrix factorization
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Xiangfeng Yang
Linköping University Sweden
sample covariance matrices
large deviations
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Gérard Ben Arous
New York University United States of America
large deviations
random matrices
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Gérard Ben Arous
New York University United States of America
large deviations
random matrices
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Marta Kryven
Dalhousie University Canada
large language models
computational models
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Elias Jarlebring
KTH Royal Institute of Technology Sweden
large-scale systems
matrix computations
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Elias Jarlebring
KTH Royal Institute of Technology Sweden
large-scale systems
matrix computations
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John Wheater
University of Oxford United Kingdom
large graph systems
random matrix models
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John Robinson
University of Sydney Australia
large deviations
stochastic modelling
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Sid Banerjee
Cornell University Netherlands
large-scale systems
stochastic modeling
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Kurt Johansson
KTH Royal Institute of Technology Sweden
random matrices
stochastic models
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Kurt Johansson
KTH Royal Institute of Technology Sweden
random matrices
stochastic models
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Andrii Dmytryshyn
University of Gothenburg Sweden
polynomial matrices
matrix theory
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Mihai Nica
University of Guelph Canada
random matrices
deep neural networks
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Yaren Kaya
Columbia University United States of America
large-scale optimization
stochastic modeling
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Kaizheng Wang
Columbia University United States of America
large-scale optimization
stochastic modeling
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John Urschel
Massachusetts Institute of Technology United States of America
matrix computations
matrix analysis
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Nasser Barjesteh
University of Toronto Canada
complex stochastic systems
stochastic modeling
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Guang Lin
Purdue University United States of America
stochastic multiscale modeling
big data analysis
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Guang Lin
Purdue University United States of America
stochastic multiscale modeling
big data analysis
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