High Dimensional Approximation Professors in Global

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James Nichols
Australian National University Australia
high dimensional approximation theory
high dimensional statistics
approximation
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Stuart Brown
University of California Los Angeles United States of America
quasi-two-dimensional systems
dimensionality
quasi-one-dimensional systems
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Frances Kuo
University of New South Wales Australia
approximation
high-dimensional numerical integration
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Wei-biao Wu
University of Chicago United States of America
high-dimensional inference
deep gaussian approximation
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Debdeep Pati
University of Wisconsin–Madison United States of America
high-dimensional applications
high dimensional network analysis
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Konstantin Makarychev
Northwestern University United States of America
approximation algorithms
high-dimensional geometry in computer science
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Aswin Sankaranarayanan
Carnegie Mellon University United States of America
high-dimensional signals
low-dimensional models
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Sanjeena Dang
Carleton University Canada
high-dimensional data
variational approximations
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Mehrdad Mahdavi
Pennsylvania State University United States of America
high-dimensional learning
large-scale optimization
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Kun Liang
University of Waterloo Canada
high-dimensional statistics
large-scale inference
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Tony Cai
University of Pennsylvania United States of America
high-dimensional statistics
large-scale inference
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Lingzhou Xue
Pennsylvania State University United States of America
high-dimensional data
large-scale optimization
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Jan Bauer
Vrije Universiteit Amsterdam Netherlands
high-dimensional data analysis
dimensionality reduction
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Laura Grigori
École Polytechnique Fédérale de Lausanne Switzerland
high dimensional problems
high performance computing
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Dimosthenis Pasadakis
Università della Svizzera italiana Switzerland
high-dimensional data analysis
extreme-scale computing
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Kaixin Liu
London School of Economics and Political Science United Kingdom
high-dimensional time series
high-frequency time series
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Yanrong Yang
Australian National University Australia
high dimensional statistics
large dimensional random matrix theory
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Guergana Petrova
Texas A&M University United States of America
approximation theory
nonlinear approximation
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Feng Dai
University of Alberta Canada
approximation theory
nonlinear approximation
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David Thomas
University of Southampton United Kingdom
high-level synthesis
high-performance computing
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Marta Bryan
University of Toronto Canada
high-resolution spectroscopy
high-contrast imaging
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