Randomized Linear Algebra Professors in Global

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Ivan Kryven
Utrecht University Netherlands
randomized algorithms
random graph representation
random matrices
random approximation algorithms
stochastic analysis
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Sara Faridi
Dalhousie University Canada
computational algebra
combinatorial algebra
commutative algebra
algebra
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Dimitra Kosta
University of Edinburgh United Kingdom
computational commutative algebra
applied algebraic geometry
algebra
algebraic statistics
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Yee Teh
University of Oxford United Kingdom
machine learning
probabilistic learning
large scale machine learning
deep learning
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Yaoliang Yu
University of Waterloo Canada
machine learning
representation learning
robust stochastic optimization
distributed learning
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Michał Dereziński
University of Michigan United States of America
randomized numerical linear algebra
random matrix theory
machine learning
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Xiucai Ding
University of California, Davis United States of America
randomized numerical linear algebra
applied random matrix theory
deep learning
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Nicolas Loizou
Johns Hopkins University United States of America
randomized numerical linear algebra
machine learning
deep learning
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Vladimir Rokhlin
Yale University United States of America
randomized algorithms
numerical linear algebra
fast deterministic randomized algorithms
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Monika Eisenmann
Lund University Sweden
randomized algorithms
machine learning
stochastic numerical analysis
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John Reif
Duke University Singapore
randomized algorithms
algebraic computation
parallel algorithms
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Sushant Sachdeva
University of Toronto Canada
numerical linear algebra
mathematical machine learning
representation learning
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Taylor Brysiewicz
Western University Canada
randomized algorithms
numerical algebraic geometry
numerical algorithms
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Ralf Zimmermann
University of Southern Denmark Denmark
numerical linear algebra
mathematical modelling
reduced order modelling
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Elina Robeva
University of British Columbia Canada
multilinear algebra
machine learning
applied algebraic geometry
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Holger Rauhut
Ludwig-Maximilians-Universität München Germany
random matrices
machine learning
deep learning
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Carlos Améndola Cerón
Technical University of Berlin Germany
nonlinear algebra
applied algebraic geometry
algebraic statistics
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Irena Peeva
Cornell University Netherlands
computational algebra
commutative algebra
algebraic geometry
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Moez Ali
Queen's University Canada
automated machine learning
machine learning
automated modeling
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Linus Ericsson
University of Glasgow United Kingdom
automated machine learning
machine learning
representation learning
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Holger Hoos
RWTH Aachen University Germany
automated machine learning
machine learning
automated reasoning
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